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A comparable board is the ESP32-CAM, which is supported by this really practical computer vision project: https://github.com/jomjol/AI-on-the-edge-device?tab=re
by evanjrowley 2y ago
A comparable board is the ESP32-CAM, which is supported by this really practical computer vision project: https://github.com/jomjol/AI-on-the-edge-device?tab=readme-ov-file https://github.com/jomjol/AI-on-the-edge-device?tab=readme-o...
- maven29 2y agoThere is an ESP32-S3 version of this camera breakout board, which is presumably what OP might have used for prototyping. The S3 variant easily justifies the slight additional cost, given that it's easily faster by an order of magnitude or greater, having SIMD and an FPU. https://github.com/espressif/esp-dl/tree/master/examples/face_recognition https://github.com/espressif/esp-dl/tree/master/examples/fac...
- hi-v-rocknroll 2y agoIn the CV department, I recently ordered a cheap FPGA + ARM Cortex-M3 + 64 Mbit SRAM + 32 Mbit flash that does camera input and HDMI output. Like a budget Zynq for CV. https://wiki.sipeed.com/hardware/en/tang/Tang-Nano-4K/Nano-4K.html https://wiki.sipeed.com/hardware/en/tang/Tang-Nano-4K/Nano-4... https://www.aliexpress.us/item/3256806880637138.html https://www.aliexpress.us/item/3256806880637138.html
- unwind 2y agoCool board! Would any of the "retro" game/home computer firmwares fit in that FPGA? I find comparing capacity hard for stuff like that.
- londons_explore 2y agoYes, easily, but unless someone has done it already, 'porting' them to this board would be a lot of work.
- hi-v-rocknroll 2y agoThere's absolutely no reason ROMs have to waste scarce resources of a hybrid FPGA. Micro SD cards (called TF in China) and eMMC are the usual solutions. Example: https://www.aliexpress.us/item/3256806498688867.html https://www.aliexpress.us/item/3256806498688867.html
- 3abiton 2y agoI wish I had the time to tinker with these bad boys
- qingcharles 2y agoWhat an awesome amount of tech for so little money.
- amelius 2y agoHow many fps can that project do?
- julius 2y agoOh wow TIL ESP32 can run TensorFlowLite. Person detection in 54ms! https://github.com/espressif/esp-tflite-micro?tab=readme-ov-file#performance-comparison https://github.com/espressif/esp-tflite-micro?tab=readme-ov-...