Become a leader in the IoT community!
Join our community of embedded and IoT practitioners to contribute experience, learn new skills and collaborate with other developers with complementary skillsets.
Join our community of embedded and IoT practitioners to contribute experience, learn new skills and collaborate with other developers with complementary skillsets.
Hello,I have a question about the feasibility of running an image recognition model on an ESP32 to recognize a single specific object, such as a person, using a camera with a live video feed. The images the model will process are 320×240 pixels in resolution. I’m considering using a lightweight model like MobileNetV2. Additionally, I’m curious about whether the ESP32 has any hardware acceleration capabilities for image processing, such as leveraging the ESP-NN library for optimized neural network inference. The power budget for the ESP32 is quite limited, but some delay in recognition is acceptable, though it should not be significant. Given these constraints and requirements, is it realistic to achieve this goal with the ESP32, or should I consider a different approach or hardware?
CONTRIBUTE TO THIS THREAD