Guide to running local vision on ESP32-S3 with camera integration
blaizedsouza · x · 2026-08-20
This post highlights three GitHub projects demonstrating how to fit computer vision capabilities into an ESP32-S3 microcontroller.
- esp32-camera: Handles the first layer, including sensor data, JPEG frames, PSRAM, and frame buffers.
- esp-who: Adds ready-made vision tasks like face detection, pedestrian detection, and QR recognition once the camera pipeline works.
- Custom Model: Explores training and deploying a custom vision model directly on the microcontroller.
Combining these creates a straightforward loop: capture an image, run the model, and trigger a physical action (light, servo, MQTT event) based on the result, keeping the path short and local without cloud dependency.
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