An innovative smart home application that leverages Wi-Fi CSI for presence detection and gesture recognition, and enables uses to automate tasks, control devices, and monitor their home’s environment.

Detect herons and trigger an alarm

TPU accelerated traffic lane segmentation engine for your Raspberry Pi

TensorFlow Lite, Coral Edge TPU samples (Python/C++, Raspberry Pi/Windows/Linux).

The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

Edge deployable spatio-temporal violence detector using transformers

Python API for ML inferencing and transfer-learning on Coral devices

Coral m.2 TPU on raspberry pi 5

Social Distancing Detector using deep learning and capable to run on edge AI devices such as NVIDIA Jetson, Google Coral, and more.

Pipeline for mask detection over a Pi camera video feed.

Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot

Fast object detection, face recognition and S3 upload of ZoneMinder alarms.

Coral Edge TPU compilable version of DeepLab V3

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

A multi-use helmet that tells you what is behind you using machine learning. This is a continuation of the TPU bike project.

m.2 B+M Coral TPU card for Raspberry Pi CM4

Integrate your rtsp cameras with simple person detection into a Home Assistant device with MQTT

A simple and real-time traffic monitoring solution using TensorFlow and OpenCV.

A workout trainer Dash/Flask app that helps track your HIIT workouts by analyzing real-time video streaming from your sweet Pi using machine learning and Edge TPU..

Person Detection with Raspberry Pi and Coral Edge-TPU for my master thesis