Eyecloud AI Camera Eyecloud is an artificial intelligence company that specializes in creating top-notch security solutions by combining computer vision technology with embedded hardware. Their team has over 30 years of experience in complex image processing, optics, sensors, IQ tuning, CV algorithms, and camera system interfaces and integration, enabling us to use technology to make our lives safer and more sustainable. The Eyecloud AI Camera is both stylish and compact, making it easy to install in any location you desire for 24-hour detection and surveillance. For instance, placing an Eyecloud AI Camera at your front door can help monitor visitors, while an Eyecloud AI Camera inside your home can help alert you of intruders, watch over your pets and children, or detect potential safety incidents. Additionally, an Eyecloud AI Camera in your backyard or garage can help keep your entire property secure. With a battery life of up to six months, 8GB of local storage, and onboard AI, the Eyecloud AI Camera continues to protect you, your family, and your home even when there is no power or internet access. Moreover, it is cordless and requires no base station to operate. Their advanced AI technology allows the Eyecloud AI Camera to differentiate between intruders, visitors, acquaintances, or your children playing in the backyard, and will only alert you when it detects unusual events. For privacy reasons, the Eyecloud AI Camera will send a text notification to all connected users, who can then use the app to investigate the reason for the alert. Additionally, the Eyecloud AI Camera is fully configurable for alert situations, giving you complete control over whether to receive snapshots or videos. CAMERA FUNCTIONS AND ACTIONS: Send alert messages and images to the host’s app Play predefined audio responses (voice/siren) Allow the host to see a live video feed on their smartphone Allow the host to interact via audio Alert images stored in the cloud for safe record-keeping and to aid police reports Allow the host to browse/play/save recorded clips from the camera Features Industrial-grade vision appliance Ready-to-deploy camera system Minimizes production time for edge-AI vision Standalone battery-powered home security camera Built-in AI for capturing important moments in your home On-device face recognition Can detect people Uses OpenNCC Open Neuro-Compute Camera Designed for deep-learning vision

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

M5StickV K210 AI Camera (without wifi) M5Stack recently launched the new AIoT(AI+IoT) Camera powered by Kendryte K210 -an edge computing system-on-chip(SoC) with dual-core 64bit RISC-V CPU and advanced neural network processor. M5StickV AI Camera possesses machine vision capabilities, equips OmniVision OV7740 image sensor, adopts OmniPixel®3-HS technology, provides optimum low light sensitivity, supports various vision identification capabilities. (e.g. Real-time acquisition of the size, type, and coordinates of the detected target ) In addition to an OV7740 sensor, M5StickV features more hardware resources such as a speaker with built-in I2S Class-D DAC, IPS screen, 6-axis IMU, 200mAh Li-po battery, and more. It is able to perform convolutional neural network calculations at low power consumption, so M5StickV will be a good zero-threshold machine vision embedded solution. It is in support of MicroPython, which makes your code to be more concise when you use M5stick-V for programming. Switching operations ? Power on: Long press power button for 2 seconds Power off : Short press power button for 6 seconds Applications: Face recognition/detection Object detection/classification Obtaining the size and coordinates of the target in real-time Obtaining the type of detected target in real-time Shape recognition Video/Display Game simulator

M5Stack UnitV AI Camera (OV7740) UnitV(OV7740) is the new AI Camera powered by Kendryte K210, an edge computing system-on-chip (SoC) with a dual-core 64bit RISC-V CPU and state-of-art neural network processor. UNIT-V AI Camera features its integration with machine vision capabilities, featuring the unprocessed acceptability to AI Visioning with high energy efficiency and low cost. We co-oped with Sipeed providing the MicroPython environment makes programming on UNIT-V easier. Support MicroPython development environment, which makes the program code more concise when you use UNIT-V for project development. Equipped with an OV7740 image sensor, it is an ideal choice for a machine vision project. This M5stack camera is equipped with two programmable keys and an RGB LED indicator on the front for a convenient status display. At the bottom, there is an HY2.0*4P interface and a type-C interface compatible with grove, which is convenient to connect with the main controller. Support TF card to expand the memory, related material, and model file call more convenient. On-board Hardware resources: Flash: 16M Camera: OV7740 Button: button * 2 Indicator light: WS2812 LED External storage: TF card/Micro SD Interface: HY2.0/compatible GROVE Applications: Face recognition/detection Object detection/classification Obtaining the size and coordinates of the target in real-time Obtaining the type of detected target in real-time Shape recognition Video recorder

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

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.

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.