DESCRIPTION
M5Camera is a development board designed for image recognition. It features an ESP32(4M Flash + 520K RAM + 4 PSRAM chip and 2-Megapixel camera (OV2640). M5Camera offers plenty of storage, with an extra 4 Mbyte PSRAM. It also supports image transmission via Wi-Fi and debugging through the USB Type-C port.
The hardware comes preloaded software, programmed by ESP-IDF designed to run the Wi-Fi camera application. The output image is size 600*800 since it’s a 2-Megapixel camera, you sure can optimize the software to output the maximum size of photos.
What this software can do:
- Power the board via USB type-C or GROVE
- Use your phone to Wi-Fi scan an AP name start with ‘m5stack-‘ and click to connect this AP.
- Open up a web browser on your phone and visit 192.168.4.1
- Display images and video at around about 5-6 frames per second.
The hardware also comes with some reserved weld pad, just in case you want to put these chips back on board.
- 9-axis gyroscope (MPU6050)
- pressure sensor (BMP280)
- Analog MIC (SPQ2410)
- Battery socket
FEATURES
- ESP32 specifications
- Dual-core Tensilica LX6 microprocessor
- Up to 240MHz clock frequency
- 4MB PSRAM
- 4MB Flash memory
- Integrated 802.11 BGN WiFi transceiver
- Integrated dual-mode Bluetooth (classic and BLE)
- Hardware-accelerated encryption (AES, SHA2, ECC, RSA-4096)
- CP2104 USB-to-TTL converter
- OV2640 sensor
- Output Formats(8-bit):
- YUV(422/420)/YCbCr422
- RGB565/555
- 8-bit compressed data
- 8-/10-bit Raw RGB data
- Maximum Image Transfer Rate according to a specific format
- UXGA/SXGA: 15fps
- SVGA: 30fps
- CIF: 60fps
- Scan Mode: Progressive
- Output Formats(8-bit):
- Camera specifications
- CCD size: 1/4 inch
- Field of View: 65 degrees
- Maximum Pixel: 2M
- Sensor best resolution: 1600 * 1200
- Dimension: 40 × 49 × 13mm
RESOURCES
- Datasheet – ESP32 – OV2640
- M5Camera(A model) Firmware: https://github.com/m5stack/m5stack-cam-psram/tree/master
- M5Camera(B model) Firmware: https://github.com/m5stack/m5stack-cam-psram/tree/master
- Examples –
- Colour recognition
- Face recognition