M5 StickC Thermal Camera Hat (MLX90640)

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

M5Stack ESP32 PSRAM Timer Camera X (OV3660) Timer Camera X is a camera module based on ESP32, integrated with ESP32 chip and 8M-PSRAM. The camera (ov3660) with 3 million pixels, DFOV 66.5 ° and shoot 2048x1536 resolution photo, built-in 140mAh battery, and LED status indicator, featuring ultra-low power consumption design. There is a reset button under the LED. Through RTC (BM8563), timing sleep and wake-up can be realized. The standby current is only 2?A. After the timing photo-taking function(one photo per hour) is turned on, the battery can work continuously for more than one month. The module supports Wi-Fi image transmission and USB port debugging. The bottom HY2.0-4P port output can be connected to other peripherals. Through M5Burner burning firmware, Timer Camera X can be set directly with Camera-Tool, and Timer Camera X data can be processed in UIFlow. Note: The low-power power management solution adopted by the Timer Camera series is different from the CORE and StickC devices. When in use, the PWR button is used as a power-on button(long press 2s). If you need to shut down the device, you need to use the software API or press the Reset button on the PCB. When using the external power supply, the device will remain powered on. Applications: Take pictures regularly Remote video monitoring

M5Stack Unit Cam Wi-Fi Camera (OV2640) Unit CAM M5 launched a very cost-effective Wi-Fi camera, using ESP32-WROOM-32E control core + 2MegaPixel image sensor (OV2640) solution on the hardware, using the most simplified design, no extra peripherals. The factory software integrates image transmission firmware, provides image data acquisition, image parameter (white balance, exposure, gain, size, and other attributes) adjustment interface, users can directly acquire image data through UART or Wi-Fi, and interact with the camera. Support UIFlow graphical programming call, realize zero development, out-of-the-box user experience. The compact design and cost performance are suitable for various wireless camera application scenarios. Applications: Wi-Fi camera Remote monitoring

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