bharathsudharsan/TinyML-CAM

Code for MobiCom paper 'TinyML-CAM: 80 FPS Image Recognition in 1 Kb RAM'

Jupyter NotebookC++c-plus-pluscomputer-visionembedded-systemsarduino-libraryimage-recognitioniot-deviceembedded-cedge-computingedge-analyticsesp32-camtinymledgeimpulse
This is stars and forks stats for /bharathsudharsan/TinyML-CAM repository. As of 04 May, 2024 this repository has 216 stars and 16 forks.

TinyML-CAM - Image Recognition System that Runs at 80 FPS in 1 Kb RAM Demo - HOG and Random Forest based Image Recognition on ESP32 ESP32 classifying Raspberry Pi Pico, Portenta H7, Wio Terminal from image frames ESP32-image-object-classification-live-demo.mp4 Results Following can be observed from the video: Time. For image frames, the digital signal processing (DSP) based features extraction time is ≈ 12 ms, while classification time is ≈ < 20 𝜇𝑠 (1/1000th of DSP). FPS....
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