M5StickV K210 AI Camera (without wifi)

reComputer J3010 Edge AI Computer with NVIDIA Jetson Orin Nano 4GB Brains of a genius, size of a sandwich - The reComputer J3010 Edge AI Computer by Seeed Studio is a high-performance and compact solution designed for AI applications at the edge. Powered by the NVIDIA Jetson Orin Nano 4GB SoM, it delivers robust processing capabilities optimized for machine learning and AI workloads. The device comes pre-installed with Jetpack 5.1.1 (Super Mode JP6.2), enabling advanced AI features and superior performance. It includes a 128GB SSD for ample storage, along with versatile connectivity options such as 4x USB 3.2 ports, HDMI output, and Gigabit Ethernet. The carrier board expands flexibility with M.2 Key E for WiFi, M.2 Key M for additional SSD storage, RTC, CAN interface, and a 40-pin GPIO header. As a dedicated Edge AI computer, the reComputer J3010 is ideal for industrial automation, robotics, smart vision, and other AI-driven applications where compactness and performance are critical. (Power adapter not included). Related Searches - Orin Nano Accesories Features: Capable of Bringing Generic AI to the Edge You can now create AI agents capable of analyzing enormous amounts of live or archived videos and images using Vision-Language Models (VLM) such as LLaVA. These new AI agents assist practically every industry in summarizing, searching, and extracting actionable insights from video using natural language. Create Multi-stream AI Video Analytics Jetson Orin Nano uses the NVIDIA Multi-Standard Video Decoder into its video analytics architecture. This video decoder speeds up video decoding by supporting low-resolution mobile material, Standard Definition (SD), High Definition (HD), and UltraHD (8K, 4K, etc). reComputer J3010 supports 11x1080p30 streaming. See our tested YOLOv8 performance utilizing NVIDIA Deepstream for single and multi-model multi-stream scenarios. Fastest Way to Deploy Generative AI and Computer Vision Models We have prepared a Jetson example for you! It provides one-line deployment of edge AI apps such as Ollama and Llama3, as well as computer vision tools such as YOLOv8. We have configured the entire environment for you to allow a single command deployment of projects. Hardware Overview: reComputer J401 Carrier Board, Included in the Full System - reComputer J3010 Desktop, Wall Mount, Expandable, or Fit in Anywhere User Projects Made With the J3010 Smart Security Camera that detects people and tracks movement using simple CV models. Line-Following or Obstacle-Avoiding Robot for classrooms, workshops, and hobby builds. AI Face Recognition System for attendance, home automation triggers, or DIY access control. Which Jetson Is Right for You? Jetson Module AI Performance (TOPS) CUDA Cores Best For Ideal User Jetson Nano ~0.5 TOPS 128 Basic AI tasks, simple robotics, learning projects Students, hobbyists, first-time AI builders Jetson Orin Nano (4GB) Up to 20 TOPS 512 Entry-level edge AI, vision projects, DIY automation Makers and beginners upgrading from Nano Jetson Orin Nano (8GB) Up to 40 TOPS 1024 Real-time vision, robotics, AI robotics kits, compact automation Developers building smarter robots and edge AI systems Jetson Orin NX Up to 100 TOPS 1024 Heavy AI workloads, multi-model pipelines, advanced robotics Professionals needing workstation-level edge performance Jetson Orin Nano – J3010 Variant Up to 20 TOPS 1024 Efficient edge AI computing, robotics, smart cameras Users who want high performance in a small, power-efficient system Applications: AI Video Analytics Machine Vision Autonomous Mobile Robot (AMR) Generative AI

NVIDIA Jetson Orin NX 8GB RAM 70 TOPS AI Embedded Module T801 AI Developer Kit The NVIDIA Jetson Orin NX 8GB RAM 70 TOPS AI Embedded Module T801 AI Developer Kit is a compact yet powerful edge AI platform built for developers and innovators who need serious computing performance in a small footprint. Equipped with 8GB RAM and delivering up to 70 TOPS of AI performance, this module enables real-time machine learning, computer vision, and autonomous processing directly on the device—without depending on cloud connectivity. It is perfectly suited for robotics, smart surveillance systems, industrial automation, and advanced IoT solutions. With full support for popular AI frameworks like TensorFlow and PyTorch, along with NVIDIA’s JetPack SDK, the kit streamlines development, testing, and deployment of intelligent systems. Whether you are prototyping an AI concept or building a production-ready solution, this developer kit offers the performance, flexibility, and reliability required for next-generation embedded AI applications. Hardware Overview: Applications: 1. Practical Application in Security Monitoring Scenarios 2. Practical Application in Smart Gas Station 3. Practical Application in Smart Petroleum Providing simultaneous assistance for channel video analysis. Provide support for smoke, fire, personnel area monitoring, fall detection, safety helmet recognition, tools, gauges, oil level, and valve direction. 4. Practical Application | Identification of Unidentified Objects in Power Transmission Providing simultaneous support for four-channel video analysis Unidentified object recognition, fireworks, and engineering vehicles. Subsequent additions, aberrant insulators, pins, bird spikes, Features: Built on NVIDIA Jetson Orin NX architecture 8GB RAM for smooth AI model execution Up to 70 TOPS AI performance for real-time inference Optimized for edge AI and embedded systems Supports TensorFlow, PyTorch & NVIDIA JetPack SDK Low power consumption with high computational efficiency Ideal for robotics, smart vision, and industrial automation applications

Jetson Orin Nano 8GB RAM New Generation Embedded Smart T201S AI Edge Computer The Jetson Orin Nano 8GB RAM New Generation Embedded Smart T201S AI Edge Computer is an advanced AI edge computing platform designed for developers, engineers, makers, and innovators working on intelligent systems. Built around the powerful NVIDIA Jetson Orin Nano module, this embedded AI computer delivers strong performance for real-time machine learning, computer vision, autonomous robotics, and smart IoT applications. It provides a ready-to-use hardware foundation that simplifies development and testing, helping you accelerate your projects from prototype to deployment. This AI edge computer is ideal for use in robotics, automated systems, smart surveillance, and industrial IoT where on-device inferencing and low-latency processing are critical. It supports popular AI frameworks like TensorFlow, PyTorch, and NVIDIA JetPack SDK, giving you flexibility to run neural networks efficiently at the edge without relying on cloud resources. Whether you are building smart machines, AI-powered sensors, or embedded vision systems, the T201S offers reliable performance and broad ecosystem support to bring your AI ideas to life. Features: Built around the NVIDIA Jetson Orin Nano module for powerful edge AI performance Provides real-time AI processing for computer vision, robotics, and automation Supports popular AI frameworks like TensorFlow, PyTorch, and NVIDIA JetPack SDK Multiple I/O interfaces for cameras, sensors, displays, and peripherals Ideal for smart IoT devices, autonomous systems, and embedded AI applications Compact and energy-efficient design for both prototyping and deployment

reComputer J4012B Edge AI Computer Powered by NVIDIA Jetson Orin NX 16GB 100 TOPS AI The reComputer J4012B Edge AI Computer, built on the NVIDIA Jetson Orin NX 16GB module, is engineered for high-performance AI at the edge, delivering up to 100 TOPS of AI compute for robotics, automation, vision systems, and industrial AI deployments. With a powerful 8-core Arm CPU, Ampere GPU with Tensor Cores, and 16GB LPDDR5 memory, this compact edge device is ideal for tasks such as real-time inference, multi-camera processing, deep learning, and edge analytics. The pre-installed JetPack 5.1.3 ensures a ready-to-deploy development environment with optimized CUDA, cuDNN, and TensorRT support. Designed for both prototyping and large-scale production, the reComputer J4012B includes a rich set of interfaces - USB 3.2, HDMI, Gigabit Ethernet, M.2 Key M for SSD, M.2 Key E for Wi-Fi, mini-PCIe for LTE, CAN bus, and 40-pin expansion header. With a durable aluminum case, active cooling, 128GB NVMe SSD, and certifications including CE, FCC, KC, ROHS, REACH, this device is ready for industrial, commercial, and AIoT applications. Guaranteed long-term availability until 2032, the J4012B is a future-proof platform for next-generation edge computing. Features: Powered by NVIDIA Jetson Orin NX 16GB, delivering up to 100 TOPS for advanced AI workloads. Features a 1024-core NVIDIA Ampere GPU with 16 Tensor Cores for accelerated deep learning and computer vision tasks. Built with a high-efficiency 8-core Arm Cortex-A78AE CPU for reliable real-time edge processing. Comes pre-installed with a 128GB NVMe SSD for fast storage and ready-to-deploy performance. Offers rich connectivity: 2× USB 3.2, HDMI, Gigabit Ethernet, M.2 Key M, M.2 Key E, mini-PCIe, CAN, 40-pin GPIO and more. Includes JetPack 5.1.3 preloaded for immediate development in Linux, CUDA, and AI frameworks. Robust aluminum enclosure with active cooling for stable 24/7 operation. Certified with CE, FCC, KC, UKCA, ROHS, REACH for industrial and commercial use. Long-term supply availability until 2032, ideal for scalable deployments. Applications: Smart Lamppost Systems Smart lampposts use integrated sensors to monitor traffic flow, pedestrian movement, and environmental conditions. The collected data helps city authorities optimize traffic control and improve public safety. Many smart lampposts also operate on solar energy, storing power for nighttime illumination and even feeding surplus electricity back into the grid to support sustainable urban infrastructure EV Battery Swapping & Charging Infrastructure Modern EV charging and battery-swapping stations connect directly to smart grid networks, enabling efficient load balancing and optimized charging schedules. This reduces strain on the grid during peak hours and ensures faster turnaround times for EV users. Advanced systems even allow certain electric vehicles to return power to the grid, contributing to a more resilient and flexible energy ecosystem. Smart Recycling & Waste Management Centers Smart recycling hubs utilize sensors embedded in collection bins to track fill levels, minimizing unnecessary collection trips and reducing operational costs. Energy-efficient sorting machines operate during off-peak hours, lowering power consumption. Recycled materials collected through these systems are often further utilized in manufacturing components for EVs, renewable energy setups, and other smart grid technologies, promoting a circular and sustainable industrial cycle. Hardware Overview:

SmartElex Ai Thinker Ai M62 32S Development Kit The SmartElex AI Thinker Ai-M62-32S Development Kit is a powerful and versatile solution designed for modern wireless and IoT applications. Built around the BL616 RISC-V CPU, it delivers high performance with a maximum operating frequency of 320 MHz, making it suitable for real-time data processing and edge computing. This AI thinker modules platform supports Wi-Fi 6, BLE 5.3, and Thread protocol, ensuring fast, stable, and low-power connectivity. The Ai-M62-32S Development Kit features a wide range of interfaces including USB 2.0, SPI, UART, I2C, I2S, PWM, ADC, DAC, and GPIO, enabling seamless integration with sensors, displays, and peripherals. With built-in hardware security engines supporting AES, SHA, PKA, and TRNG, along with secure boot and encrypted firmware startup, it meets strict security requirements for IoT deployments. This makes the Ai-M62-32S Development Kit an excellent choice for smart home systems, wearable electronics, multimedia devices, and next-generation IoT solutions. Features: Supports the 2.4GHz operational frequency band. Support IEEE 802.11 B/G/N/AX. Support BLE 5.3. Wi-Fi Security Support WPS/WEP/WPA/WPA2/WPA3 Supports 20/40MHz bandwidth, 1T1R, maximum rate of 229.4 Mbps Supports STA, SoftAP, STA+SoftAP, and sniffer modes. A 32-bit RISC-V CPU with FPU and DSP has a maximum dominant frequency of 320M. 532KB SRAM, 128KB ROM, 4KB eFuse. Supports USB2.0, SDU, SD/MMC (SDH), SPI, UART, I2C, I2S, PWM, GPDAC, GPADC, ACOMP, and GPIO, among others.

ACEBOTT QD107 AI Vision For TinkerBott Car V1.1 (Car Kit is Not Included) ACEBOTT QD107 AI Vision Module for TinkerBott Car V1.1 enhances your robot with smart image recognition, object tracking, and AI-powered interaction capabilities. Built around an ESP32 camera system, this upgrade allows students and makers to explore computer vision, machine learning, and intelligent robotics in a hands-on way. Whether used in STEM classrooms or home robotics projects, the QD107 adds exciting new functionality to the TinkerBott platform, making coding and learning more engaging and interactive. Features AI-powered vision module enables object detection, recognition, and tracking. Built-in ESP32 camera provides fast image processing and wireless communication. Plug-and-play upgrade designed specifically for TinkerBott Car V1.1. Supports multiple programming platforms, making it ideal for beginners and advanced learners. Enhances STEM learning with hands-on experience in computer vision and AI robotics. Lightweight and modular design allows easy installation without affecting robot mobility.

Official Raspberry Pi AI Kit Unlock the power of AI with the Official Raspberry Pi AI Kit. This kit includes the Raspberry Pi M.2 HAT+ and the powerful Hailo AI acceleration module, which is specifically designed for the Raspberry Pi 5. The Hailo-8L processor can do 13 tera-operations per second, which makes it ideal for complicated AI applications. The module connects easily to the Raspberry Pi 5 through the M.2 HAT+, linking the AI module’s M.2 interface with the Raspberry Pi 5’s PCIe 2.0 interface. With the latest Raspberry Pi OS, the system automatically detects the Hailo module, making the Neural Processing Unit (NPU) ready for AI tasks. The built-in camera apps in Raspberry Pi OS also support the AI module, streamlining AI-powered projects. This Raspberry Pi 5 expansion board is mainly used for a variety of purposes, such as advanced robotics, unique home projects, deep learning artificial intelligence, and instructional support. So, It's time to transform your Raspberry Pi 5 into an effective AI workstation. Get into the fascinating field of artificial intelligence by ordering the Raspberry Pi AI Kit for Pi 5. Discover the Best Raspberry Pi Boards ! Key Features: Capable of 13 TOPS for effective neural network inference. Fully integrated into the Raspberry Pi's camera software stack for convenient use. The pre-fitted thermal pad distributes heat across components, enhancing overall performance. Conforms to the Raspberry Pi HAT+ standard for dependable operation. Comes with a 16mm stacking header, spacers, and screws for simple installation. Temperatures may range from 0? to 50?, making it suitable for a variety of applications. Best Raspberry Pi 5 HAT for advanced projects Why Choose Raspberry Pi AI Kit? Affordable Edge AI Solution: Delivers powerful AI performance at a low cost, ideal for developers and hobbyists. Powered by Hailo-8L Accelerator: Offers up to 13 TOPS for efficient object detection and pose estimation. Seamless Integration with Raspberry Pi 5: Designed for M.2 HAT+ interface, ensuring stable hardware and software compatibility. Local AI Processing: Enables on-device inference without cloud dependency—faster, private, and energy-efficient. Optimized for Vision Projects: Perfect for tasks like image recognition, tracking, and robotics. Scalable Performance: Supports upgrade to Hailo-8 (26 TOPS) for advanced AI workloads. Great for Learning & Prototyping: Easy setup for educators, students, and makers exploring AI development. Raspberry Pi AI Kit M.2 HAT+ vs AI HAT+ Feature Raspberry Pi AI Kit M.2 HAT+ Raspberry Pi AI HAT+ (13 TOPS) AI Accelerator Hailo-8L (13 TOPS) Hailo-8L (13 TOPS) Interface M.2 HAT+ (PCIe connection) Standard HAT+ (direct GPIO / PCIe bridge) Compatibility Designed for Raspberry Pi 5 (uses M.2 slot) Works with Raspberry Pi 5 via standard HAT+ connector Performance ~13 TOPS at 9–10 W ~13 TOPS at 9–10 W Cooling Requirement Requires active cooling (heat dissipation via metal plate) Passive cooling sufficient for light workloads Installation Type Mounted under the Pi using the M.2 slot Stacks directly on top of Raspberry Pi 5 Form Factor Compact and flat design (ideal for embedded systems) Slightly taller profile due to stacking header GPIO Access Limited (requires extended stacking header) Easier access to GPIO pins Upgrade Option Supports Hailo-8 (26 TOPS) upgrade Fixed Hailo-8L (13 TOPS) only Best For Performance-focused AI projects, compact builds, industrial use Educational setups, DIY AI learning, and experimentation Power Source Powered via M.2 interface Powered via Raspberry Pi board directly Example Projects with Raspberry Pi AI Kit Smart Security Camera with Object Detection Facial Recognition Door Lock AI-Powered Traffic Monitoring System Gesture-Controlled Robot Real-Time Emotion Detection System Retail Analytics Counter Industrial Defect Detection Smart Waste Sorting Machine Wildlife Monitoring Station Personal AI Assistant Device

Ai-Thinker VC-02 Offline Speech Recognition Control Module The VC-02-Kit is a development board for the Voice Recognition Module, sharing the same design as the VC-01-Kit. It features an integrated CH340C USB-to-serial chip for debugging and upgrading, with added functionality like wake-up light, cold, and cooling lamp control, along with status indicators for easy debugging and control. Developed by Shenzhen Ai-Thinker Technology Co., Ltd., the VC-02 is a cost-effective offline speech recognition module that uses the US516P6 voice chip from Unisound. This chip offers a deep integration of offline recognition algorithms, providing an ultra-low-cost speech recognition solution. It is ideal for smart homes, small household appliances, 86 boxes, toys, lamps, and more, enabling voice control. The US516P6 chip features a 32-bit RISC architecture, DSP instructions for signal processing, an FPU unit for floating-point operations, and an FFT accelerator. The VC-02 Voice Recognition Module supports 150 local offline commands and a lightweight RTOS system, making it easy to customize with a variety of peripheral interfaces. Features All GPIOs can be set up as external interrupt inputs and wake-up sources One full-duplex UART with a maximum speed of 3Mbps Supports I2C, DAC, PWM, and multiple interfaces Includes 242KB of high-speed SRAM Equipped with 2MB FLASH memory Dual-channel DAC output support 32-bit RISC core running at 240MHz Supports DSP instruction set and FPU for floating-point operations

A203 V2 Carrier Board for NVIDIA Jetson Nano/Xavier NX/TX2 NX – Compact AI Development Board for Robotics & Embedded Systems - Seeed Studio The Jetson A203 V2 Carrier Board is an upgraded version of the A203, designed as a versatile and reliable NVIDIA Jetson Nano/Xavier NX/TX2 NX carrier board (A203 V2). It provides a wide range of peripheral interfaces, including support for Wi-Fi, Bluetooth, SSD storage, and more, making it highly adaptable for diverse industrial applications. From manufacturing and logistics to retail, agriculture, and beyond, this board enables developers to build end-to-end solutions with ease. With its compact size and lightweight design, the A203 V2 is an ideal compact AI development board for robotics, video analysis, and embedded systems. It’s well-suited for advanced robotics projects such as UAVs, unmanned boats, and submarines, offering seamless integration and stable performance. When paired with NVIDIA Jetson modules (sold separately), it empowers innovators, hobbyists, and professionals to accelerate development in robotics, computer vision, and edge AI. Features: NVIDIA Elite Partner Design – Built with reliability and compatibility in mind. 260-Pin Jetson Module Connector – Compatible with Jetson Xavier NX, Nano, and TX2 NX modules. Compact & Lightweight – Dimensions: 87mm × 52mm × 26mm; Weight: only 100g. Wide Operating Temperature – Stable performance from -25°C to 65°C for industrial environments. High-Speed Connectivity – 2 × USB 3.0 Type-A ports, 1 × USB 2.0 Micro-B connector, and USB 3.0 20-pin ZIF. Flexible Storage Expansion – Supports M.2 Key M SSD (2242) and MicroSD card. Reliable Networking – RJ-45 Gigabit Ethernet port (10/100/1000M). Multimedia Support – HDMI right-angle vertical connector and CSI camera interface. Rich I/O Interfaces – Includes UART, SPI, CAN, and GPIO for versatile peripheral integration. Stable Power Supply – Powered via 12V/5A DC jack for consistent performance. Application-Ready – Optimized for robotics, computer vision, video analysis, UAVs, and embedded AI solutions. Applications: Autonomous Mobile Robot (AMR) AI Video Analytics Machine Vision Generative AI A203 V2 Carrier Board Hardware Overview

XIAO Smart Vision AI Camera for Edge AI Applications -Seeed Studio The XIAO Smart Vision AI Camera by Seeed Studio is a compact and powerful AI vision camera solution designed for edge AI applications. It integrates the Grove Vision AI V2 module, XIAO ESP32-C3 controller, and an OV5647 camera into a custom 3D-printed enclosure, delivering a seamless development experience. Powered by the Himax WiseEye2 platform with an Arm Cortex-M55 processor and Ethos-U55 NPU, this device offers efficient on-device AI processing. Supporting both TensorFlow and PyTorch frameworks, it ensures compatibility with the Arduino IDE and allows developers to deploy models without coding hassles. With real-time inference visualization provided by SenseCraft AI, it’s perfect for beginners and experienced developers working on innovative AI vision projects. Features: Powerful AI Processing Capabilities The Grove Vision AI Module V2 is powered by the WiseEye2 HX6538 processor, which features a dual-core Arm Cortex-M55 and an embedded Arm Ethos-U55 neural network unit. Deploy and Visualize AI Models without Coding SenseCraft AI offers built-in models (Mobilenet V1/V2, EfficientNet‑Lite, YOLO v5/v8) or custom datasets for "Quick Training" or "Image Collection Training." After training, models are deployed to the device with a single click and inference results are visualized in real-time on the web, eliminating the need for coding. Wi-Fi Enabled Smart Vision With the built-in Wi-Fi capabilities of the XIAO ESP32-C3, you may turn this device into an intelligent IP camera. Stream detection findings wirelessly and seamlessly interact with platforms like as Home Assistant, extending its utility across a wide range of smart home scenarios. This wireless link transforms simple object detection into networked intelligent vision, allowing for remote monitoring and smart automation applications. Local Closed-Loop Automation and Home Assistant Integration After deploying a model with SenseCraft AI and flashing ESPHome, users can integrate the XIAO Vision AI Camera into Home Assistant. Within the automation editor, users can trigger other devices or send notifications based on detection events (e.g., falls, object detection), enabling a fully local, closed-loop workflow from vision to action. Fully Open Source All code, design files, and schematics are available for modification and use. We may also assist you personalize the device to match your specific applications through our ODM services. Please contact us at iot[@] seeed.cc if you are interested. What is the performance of the XIAO Vision AI Camera? To quickly assess the performance of this board, we compared it to Seeed's other MCU-based vision AI boards: Grove - Vision AI Module, thumb-size, AI-powered camera, easy-to-use, customizable sensor, super low power cost. - Seeed Studio, Mini ESP-CAM Dev Board for Edge AI - XIAO ESP32S3 Sensor in four areas: These findings clearly show that the Grove Vision AI V2 in the XIAO Vision AI Camera is an excellent option for high-performance vision processing. How XIAO VIsion AI Camera Works? How to Use it? SenseCraft AI is a platform that allows for easy AI model training and deployment using no-code/low-code. It natively supports Seeed products, guaranteeing that trained models are fully adaptable to them. Furthermore, deploying models using this platform provides quick viewing of identification results on the website, allowing for rapid assessment of model performance. With the SenseCraft AI, you can easily integrate vision AI to your smart sensor with Grove Vision AI V2. This is ideal for tinyML applications. Connect the device, select a model, and check identification results to deploy off-the-shelf or bespoke AI models quickly and easily. Applications: Industrial Automation: Quality inspection, predictive maintenance, voice control, and so on. Smart City: Monitoring equipment, managing energy consumption, and so on. Transportation: Status monitoring, position tracking, and so on. Intelligent Agriculture: environmental monitoring, etc. Mobile IoT Devices: Wearable, handheld, and other types of devices.

Official Raspberry Pi AI Camera with SONY IMX500 Sensor The Official Raspberry Pi AI Camera with the Great 12MP Sony IMX500 Intelligent Vision Sensor! This RPi camera lets you explore advanced AI features easily. It fits well with Raspberry Pi computers and can process information on its own, which helps your Raspberry Pi do other things without getting slow. If you’re interested in AI projects, or machine vision, or just want to experiment with smart systems, this Raspberry Pi camera with object detection is perfect for you. It works with all Raspberry Pi Model 3 and 4 computers, so you can use it in many ways. Bring your projects to life with this amazing Official Raspberry Pi AI Camera Module! Old meets new Compatible with all Raspberry Pi computers, the Raspberry Pi AI Camera features Sony’s IMX500 Intelligent Vision Sensor, enabling you to build powerful vision AI applications and neural network models with its on-module AI processor. Effortless Vision AI The IMX500 seamlessly integrates with Raspberry Pi’s camera software, making it easy to deploy your own neural network models. To help you get started, we’ve created a step-by-step guide for running both pre-built and custom AI models on the camera. Scale with AITRIOS Develop AI models and applications for the IMX500 Intelligent Vision Sensor and Raspberry Pi, then expand seamlessly to enterprise-level deployment with AITRIOS. Explore Sony’s AI Services Local Studio provides a streamlined process for labeling, training, and producing AI models efficiently. Key Features 12MP Sony IMX500 sensor for high-quality images. On-board low-power inference engine for neural networks. Pre-loaded MobileNet model for quick AI applications. 76-degree field of view for detailed shots. Adjustable focus for clarity in images. Easy setup with 200mm cables, compatible with Raspberry Pi 3 and 4. Why Choose the Raspberry Pi AI Camera? On-board Edge AI processing with the Sony IMX500 sensor. Performs real-time object detection and image classification directly on the camera. Frees up Raspberry Pi’s CPU for other tasks. High-resolution 12MP imaging with excellent clarity and detail. Seamless compatibility with Raspberry Pi boards via CSI interface. Ideal for smart vision, robotics, and real-time monitoring projects. Energy-efficient and optimized for continuous AI operation. Comparison: Raspberry Pi AI Camera vs Camera Module 3 Feature Raspberry Pi AI Camera Raspberry Pi Camera Module 3 Sensor Sony IMX500 (with built-in AI processor) Sony IMX708 (high-quality image sensor) Resolution 12 Megapixels (4056 × 3040) 12 Megapixels (4608 × 2592) AI Processing On-board Edge AI inference support No AI processing, relies on Raspberry Pi CPU Field of View Approx. 76° (Standard Lens) Wide and Standard versions available Frame Rate Up to 60 fps (lower at full resolution) Up to 120 fps (lower resolution modes) Focus Type Fixed focus Autofocus Connectivity CSI Interface CSI Interface Special Features Built-in neural network accelerator for object detection and classification Excellent low-light performance and HDR support Best For AI vision, robotics, and smart automation High-quality photography and video capture Applications Smart Surveillance and Security Systems Object and Face Recognition Projects Automated Quality Inspection in Manufacturing Traffic and Vehicle Monitoring Systems Smart Retail and Customer Analytics AI-Powered Robotics and Drones Wildlife and Environmental Monitoring Home Automation with Vision Detection

reComputer J4012-Edge AI Device with NVIDIA Jetson Orin™ NX 16GB module reComputer J4012 is the perfect solution for advanced AI applications. It is compact, expandable, high-performing, durable, easy to integrate, versatile, and of high quality. reComputer J4012 ensures the highest quality and durability. Its NVIDIA Jetson Orin NX 16GB module provides up to 100 TOPS AI performance and guarantees exceptional computing power. The aluminum case and cooling fan offer optimal performance and longevity, making it suitable for industrial conditions and perfect for robust applications. Our reComputer J4012 is easy to use with pre-installed JetPack 5.1 on 128GB NVMe SSD and designed to solve complex AI tasks. Features: Brilliant AI Performance for production: on-device processing with up to 100 TOPS AI performance with low power and low latency Hand-size edge AI device: compact size at 130mm x120mm x 58.5mm, includes NVIDIA Jetson Orin™ NX 16GB production module, a cooling fan with a heatsink, enclosure, and a power adapter. Support desktop, wall mount, fit in anywhere Expandable with rich I/Os: 4x USB 3.2, HDMI 2.1, 2xCSI, 1xRJ45 for GbE, M.2 Key E, M.2 Key M, CAN, and GPIO. Accelerate solution to market: pre-installed Jetpack with NVIDIA JetPack™ 5.1 on the included 128GB NVMe SSD, Linux OS BSP, 128GB SSD, support Jetson software and leading AI frameworks and software platforms Comprehensive certificates: FCC, CE, RoHS, UKCA Applications: Autonomous Robots & Drones Smart Surveillance Systems Industrial Automation & Inspection Edge AI Computing AI-Powered Retail & Smart Cities Healthcare Imaging & Diagnostics Generative AI Applications Autonomous Vehicles & ADAS Prototyping Agricultural Monitoring Systems AI Research & Model Deployment Comparison Table: reComputer J4012 vs reComputer J2022 Feature reComputer J4012 reComputer J2022 AI Performance 100 TOPS (with NVIDIA Jetson Orin NX 16GB) 21 TOPS (with NVIDIA Jetson Xavier NX 16GB) Module / SoM NVIDIA Jetson Orin NX 16GB NVIDIA Jetson Xavier NX 16GB Memory 16GB LPDDR5, 128-bit, 102.4 GB/s bandwidth 16GB LPDDR4x, 128-bit, 59.7 GB/s bandwidth GPU / Architecture Ampere architecture, 1024-core GPU with 32 Tensor Cores Volta architecture, 384-core GPU Storage 128GB NVMe SSD + M.2 Key M slot 16GB eMMC 5.1 + M.2 Key M slot for SSD Form Factor & Dimensions 130mm × 120mm × 58.5mm 130mm × 120mm × 50mm Power Input 9–19V DC input via barrel jack 12V/5A via barrel jack or terminal block Target Applications High-end edge AI, multiple video streams, advanced robotics, generative AI Entry to mid-level edge AI, smart devices, vision analytics, small deployments

MatataStudio Nous AI Set - AI Educational Robot Kit Introducing the MatataStudio Nous AI Set-a fantastic way to bring STEM and robotics education to primary and secondary schools! This cool, modular AI robot helps students learn about important topics like machine learning, neural networks, and speech recognition in a fun and interactive way. Setting up the Nous robot is super easy and takes just about 20 minutes. It’s made of strong metal, and the clear instructions make building it a breeze. Students can chat with the robot, draw pictures, and even explore how autonomous driving works, thanks to its ChatGPT-powered MatataChat feature. But that’s not all! The Nous AI Set also connects to the Internet of Things (IoT), allowing students to use features like a Topic Broadcasting Service and get real-time weather updates. It’s a hands-on learning tool that makes AI education exciting and accessible. If you want to inspire the next generation of tech leaders, the Nous AI Set is the perfect addition to your classroom! Features: Cool AI Robot: This robot is great for kids in primary and secondary schools to learn about AI. Easy to Build: You can set up the Nous robot in just 20 minutes with simple instructions. Strong and Sturdy: It’s made of tough metal, so it can last in a busy classroom. Fun Learning: Students can learn about things like machine learning and neural networks while having fun. Chat and Draw: With the MatataChat feature, students can talk to the robot and even make drawings. Driving Fun: The robot can drive on its own, which makes learning exciting. Connects to the Internet: The Nous can give updates on topics and the weather, making lessons even more interesting. Teaches STEM: It’s a great tool for teaching coding and technology in a hands-on way. Inspires Future Tech Leaders: Most importantly, it helps kids get ready to be the innovators of tomorrow! Applications: AI Education: Teaches AI and programming. Interactive Learning: Ideal for robot teaching sessions. Creative Projects: Promotes hands-on assembly. Competitions: Great for robotics contests.

reCamera 2002w 8GB -Open-Source Pocket-Sized AI Camera Module -Seeed Studio The reCamera 2002w 8GB from Seeed Studio is a powerful pocket-sized camera designed to accelerate AI vision development. As an open-source camera module, it leverages a RISC-V SoC running Linux, delivering 1 TOPS @INT8 performance for efficient and fast AI inference. Featuring a 5MP camera and pre-installed YOLOv11, the reCamera enables rapid deployment of AI-based object detection and vision applications. Its modular design makes it ideal for developers aiming to integrate custom AI models with ease, while built-in support for Node-RED simplifies system integration. Perfect for prototyping or embedding into projects, the reCamera is the fastest way to bring intelligent vision to any system. Features: From Demonstration to Production in Days, not Months Ready Custom AI Models: Includes YOLO11 with commercial license, Roboflow, and SenseCraft AI support. One-Line Deployment: Use a single command to quickly deploy a YOLO model. Easy Integration: Pocket-sized, PoE and CAN-bus expansion, magnetic and 1/4" thread mount. Reliable Performance: Optimized heat dissipation to ensure stability. Code or No-Code: Vision AI for Every Developer's Workflow No-Code for Beginners: Node-RED for simple custom workflows. Pro-Code for Experts: Includes a C++ SDK with OpenCV C++ APIs for a deeper dive. Dedicated Accessories: Gimbals and other tools to improve the functioning of the reCamera. Seeed Vision AI Ecosystem: From MCUs to high-end robotics, Seeed's entire Vision AI matrix assures the perfect pairing with reCamera. Modular by Design, Customizable on Demand Fully Open Source: Customize reCamera to your specifications. Modular Design: Combine/Mix & match sensor, base, and core boards to create unlimited permutations. Plug and Swap: You may easily customize the reCamera to meet your own requirements. Walk through the entire pipeline to see how reCamera, the small yet powerful AI camera, simplifies and accelerates your vision AI development. Hardware Overview: Applications: Node-RED for Efficient Custom Vision AI Workflows With its plug-and-play simplicity and built-in YOLO 11 models, you can simply drag and drop to begin using reCamera. Create bespoke vision AI workflows and preview AI Model processing on Node-RED, all without any complex coding. ReCamera Gimbal Connect this camera module to your gimbal to easily change it into an AI-powered control system. Gain accurate, two-axis movement—up, down, left, and right—without any coding to begin. Using the simple Node-RED platform, you can simply integrate and fine-tune the system, allowing computer vision using YOLO v11 to improve your gimbal's tracking abilities. Simply configure your desired model in Node-RED, make a few tweaks, and enjoy the full potential of computer vision in your gimbal. ReCamera Robot Arm This powerful camera module will enhance the capabilities of your robotic arm by allowing for smooth AI integration. This module, which includes flexible interface expansion and the open source reCamera OS, brings sophisticated computer vision to your robotics setup, allowing for accurate control and intelligent object recognition. Customize it to meet your individual requirements, and let the adaptable interface perform difficult tasks with advanced vision and adaptability.

Gravity: Huskylens - An Easy-to-use AI Camera | AI Machine Vision Sensor Huskylens is the ultimate solution for your robotics and AI projects. This AI camera offers a range of features including face recognition, object tracking, line following, and more. Designed to be user-friendly, you can connect it to popular control boards like Arduino and Raspberry Pi, making complex projects a breeze. The 2.0-inch IPS screen, advanced AI chip, and machine learning capabilities set this camera apart. Craft interactive projects, enhance your robot's vision, and explore new applications with ease. Made with quality materials and cutting-edge technology, Huskylens is a game-changer for AI enthusiasts and developers. Features: Equipped with multiple functions: face recognition, object tracking, object recognition, line tracking, color recognition, and tag (QR code) recognition Connectivity: Can connect to popular main control boards like Arduino, micro: bit, Raspberry Pi, and LattePanda through the UART / I2C port Easy-to-use: Various algorithms can be changed by pressing the function button; learning new things by pressing the learning button for recognition Built-in machine learning technology: Enables recognition of faces and objects; continuous learning for improved accuracy from different angles and ranges. Specialized AI chip Kendryte K210: Offers high performance, 1,000 times faster than STM32H743 when running neural network algorithms; capable of capturing fast-moving objects Applications: Face recognition Object tracking Object recognition Line tracking Color recognition Tag (QR code) recognition Interactive gesture control Autonomous robot Smart access control Interactive toy