Popular GitHub Repositories for Usb

Contains examples for the Movidius Neural Compute Stick.

YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO

USB: Universal-Scale Object Detection Benchmark (BMVC?2022)

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.

In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal registered with USB microphone

This Project Aims for 100% Offline Stable Diffusion (People without internet or with slow internet can get it via USB or CD)

Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick

Performance testing of 24 Machine Learning models on Raspberry Pi using TensorFlow Lite and Google Coral USB Accelerator

Voice Input to USB HID Output. Based on STM32WB55

The official code of Recsys'25 paper 'USB-Rec: An Effective Framework for Improving Conversational Recommendation Capability of Large Language Model'

Testing Google Coral USB Accelerator's performance with 04 models of Raspberry Pi. Results have shown 10 times faster inferencing speeds with the Coral hardware attached.

Solution installs a motion triggered Security Cam on Raspberry Pi Zero W. Designed to be nearly plug and play, so install script includes setting wlan0 (wireless) I.P. automagically and updating rc.local to apply and manage changes upon reboot. Optional IOT logic for detecting owner's presence and turning off camera, sending video attached emails when motion detection is triggered, as well as option to add a removable USB Storage device .

HIAS TassAI Facial Recognition Agent processes streams from local or remote cameras to identify known and unknown humans.

One-command RTSP streaming setup for Raspberry Pi 3B+, Pi 4, and Pi 5. USB webcam → H.264 RTSP stream with auto-recovery, systemd supervision, and full rollback support.

Bachelor Thesis. This work consists of designing a miniature autonomous car that can follow a road, detect signalisations and obstacles.

Face detection and tracking using OpenCV, USB T-Shirt launcher and RPi camera module to demonstrate how ChatGPT can speed up development and writing clean and SOLID code.

这是一个基于 Node.js 的应用，专为 Claude 桌面版设计。它模拟一个二氧化碳传感器设备，并提供一个 JSON-RPC 服务器与设备交互。该应用既可以模拟运行，也可以连接到树莓派 Pico（通过 USB）读取真实的二氧化碳浓度进行实际运行。

Sample robot apps for Kaia.ai platform and Scout robot base

(Raspberry PI 5) UART Debug Console Pro is a modern, user-friendly desktop application to monitor and interact with the UART serial interface. Built for developers, system integrators, and embedded engineers, this tool is the ideal solution for headless debugging, live diagnostics, and console-level interaction.