Ever wanted to dabble in face and/or speech recognition? Espressif’s ESP-EYE is a miniature ESP32-based development board that combines a digital microphone, ESP32 (of course) with 8 MB PSRAM and 4 MB flash, and a 2 megapixel camera. There’s a few buttons and LEDs as well for basic control and configuration.
Unlike some boards, this codebase does not require internet connectivity - you don’t have to send video or audio data to ‘the cloud’ - it’s all processed on-chip! The built in demo shows off what it can do:
- Plug into a computer USB port and open up a serial port connection at 115,200 baud to the new serial port
- Once the red LED is lit, activate the board with the watchword “Hi Lehshin” (in documents they spell it lexin, the x is pronounced as a shh sound)
- The red LED will blink - then connect to the new Wi-Fi access point created
- Open up a web browser to http://192.168.4.1/face_stream
- Point the camera at faces to show off the recognition boxes! Video is about 2 frames per second, not super fast.
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This is the latest unstable release of CircuitPython that will work with the ESP-EYE.
Unstable builds have the latest features but are more likely to have critical bugs.
Built-in modules available: adafruit_bus_device, adafruit_pixelbuf, aesio, alarm, analogio, atexit, audiobusio, audiocore, audiomixer, binascii, bitbangio, bitmaptools, board, busio, canio, countio, digitalio, displayio, dotenv, dualbank, errno, fontio, framebufferio, frequencyio, getpass, gifio, hashlib, i2ctarget, ipaddress, json, keypad, math, mdns, microcontroller, msgpack, neopixel_write, nvm, onewireio, os, ps2io, pulseio, pwmio, qrio, rainbowio, random, re, rotaryio, rtc, sdcardio, sharpdisplay, socketpool, ssl, storage, struct, supervisor, synthio, terminalio, time, touchio, traceback, ulab, vectorio, watchdog, wifi, zlib
Every time we commit new code to CircuitPython we automatically build binaries for each board and language. The binaries are stored on Amazon S3, organized by board, and then by language. Try them if you want the absolute latest and are feeling daring or want to see if a problem has been fixed.
All previous releases are listed on GitHub, with release notes, and are available for download from Amazon S3. They are handy for testing, but otherwise we recommend using the latest stable release. Some older GitHub release pages include the same binaries for downloading. But we have discontinued including binaries as assets on newer release pages because of the large number of files for each release.