There are 1 repository under real-time-detection topic.
Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)
Online anomaly detection for data streams/ Real-time anomaly detection for time series data.
🖍️ This project achieves some functions of image identification for Self-Driving Cars. First, use yolov5 for object detection. Second, image classification for traffic light and traffic sign. Furthermore, the GUI of this project makes it more user-friendly for users to realize the image identification for Self-Driving Cars.
This app recognises 3 hand signs - fist, high five and victory hand [ rock, paper, scissors basically :) ] with live feed camera. It uses a HandSigns.mlmodel which has been trained using Custom Vision from Microsoft.
Modified RefineDet
It can detect face mask from images and real time videos.(VGG 16,OPENCV & KERAS)
Yoga-Tracker classifies various Yoga poses and not just static pictures but also real-time yoga poses performed in front of the camera.
Tensorflow object detection with PPN for embedded commercial detection
real-time violence detection on video content
This repository contains the training code for my PyTorch YOLOX object detection tutorial.
Real Time Drone Detection with YOLOv3, YOLOv3-tiny, YOLOv4, YOLOv4-tiny, YOLOv5x, YOLOv5s, YOLOv6-L, YOLOv6-S, YOLOv7-X, YOLOv7, YOLOv8l and YOLOv8s
Real-Time Detection of Drones with YOLOv3 Deep Learning Algorithm
Real-Time Detection of Drones with YOLOv3 Deep Learning Algorithm
Efficient Real-time Video Frame Classification for Bladder Lesions.
A computer vision project using deep learning to detect face masks in live video. Accurate and efficient, it overlays results on the video feed, indicating mask presence. Monitors compliance in public spaces, workplaces, and healthcare settings for enhanced safety.
Face detection in real-time
A real-time project that detects and classifies urine cells from microscopic images. This project provides information on urinary health and diseases and assists doctors.
In this repository you will find an efficient 'Real Time Driver Drowsiness Detection for an Intelligent Transportation System', that will work on various constraints like while wearing Eye Glasses, Mask etc.
This is a drowsiness detection model based on yolov5 by ultralytics.
I'm implementing the SSD algorithm for classification and localization of multiple objects.
A distributed and device-cloud-orchestrated real-time object detection framework based on ROS2
An AI-driven solution for enhancing safety at construction sites. Utilises YOLOv8 for object detection to identify overhead hazards like heavy loads and steel pipes. Alerts are triggered if personnel are detected beneath these hazards. Dataset sourced from Taiwan's construction industry.