Real-Time Road Anomaly Detection from Dashcam Footage on Raspberry Pi
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Updated
Mar 27, 2026 - JavaScript
Real-Time Road Anomaly Detection from Dashcam Footage on Raspberry Pi
基于机器视觉的学园偶像大师自动化脚本
Wearable blind navigation assistant: Raspberry Pi 4 + RealSense D435 + YOLO26n, depth tracking, ego-motion compensation, and local audio/TTS alerts.
Real-time CCTV surveillance system using YOLO for object detection and BLIP for image captioning. It processes webcam or video streams, displays detected objects with captions, and logs detection results with timestamps to a CSV file. We achive upto 15-20 fps on Laptop with GPU
Ultralytics YOLO26n 在树莓派4B 上的基准测试 | Ultralytics YOLO26n on Raspberry Pi 4B Benchmark
CARLA-based emergency vehicle detection and traffic light preemption using YOLOv26n, multi-camera infrastructure sensing, and realistic weather-diverse data collection.
Huấn luyện mô hình YOLO26 kết hợp OpenCV để phát hiện, phân loại và đếm các phương tiện giao thông thời gian thực trên luồng camera đường phố
Low-profile wearable device to provide the visually impaired with an intuitive "synthetic audio-vision" system for enhanced navigation
🛸 YoloDetector An advanced, high-performance Android application featuring real-time object detection using a customized YOLO26n (float32) model powered by TensorFlow Lite. Implemented with a sleek Sci-Fi HUD overlay and a clean Neumorphic design system, YoloDetector delivers desktop-grade edge computing on mobile devices.
Advanced object detection system for potato foliar disease identification (Septoria, Early Blight, Late Blight, and Healthy leaves) using YOLO26, RT-DETR, and XAI.
IntegraPose-Live is a Behavioral Ethology Android App that allows users to use their own NCNN and ONNX format models for real-time and offline pose-estimation, detection-based tracking, and ROI based behavior metrics.
Detecting the distance in meters from a camera to a car using a simple formula to estimate the monocular depth and YOLO26 to detect cars
Traffic Sign Recognition (TSR) vison model for Advanced Driver Assitance System (ADAS) using YOLO-based object detection, trained on a custom Indian traffic sign dataset aligned with Indian Road Congress (IRC:67-2022) standards.
YOLO 26 Segmentation Fine-tuning pipeline.
Fine-tuned YOLO26n model that detects ear tags on dairy cows, developed as a proof-of-concept for automated missing tag detection on farms.
A tool for automatically tracking FRC robots from match footage
An AI-powered assistive navigation mobile app for the visually impaired. Built with Kotlin and Jetpack Compose, utilizing YOLO26-TFLite for real-time object detection and audio guidance.
Cross-architecture knowledge distillation from RT-DETR to YOLO26n for label-scarce aerial detection (VisDrone), with semi-supervised pseudo-labelling and accuracy-gated INT8 PTQ and TensorRT export.
code base of the autonomous system of the Miramar Water Jets team, for the ROBOSUB competition
Classification of skin lesions (among 7 classes) using the file https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DBW86T and the Yolo26 classification model.
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