Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)
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Updated
Mar 5, 2020 - Python
Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)
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.
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.
Modified RefineDet
It can detect face mask from images and real time videos.(VGG 16,OPENCV & KERAS)
Tensorflow object detection with PPN for embedded commercial detection
A Flask web application game that detects real time Dynamic Sign Language using LSTM Keypoint Detection Model.
real-time violence detection on video content
Efficient Real-time Video Frame Classification for Bladder Lesions.
Face detection in real-time
This repository primarily implements real-time detection by connecting AirSim with YOLOv5 using the image API.
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.
A distributed and device-cloud-orchestrated real-time object detection framework based on ROS2
Real-Time Face Detection: A fine-tuned YOLO model and Streamlit UI, offering an exciting journey into AI.
This project demonstrates real-time object detection using YOLOv8 and opencv with a webcam or Intel RealSense camera.
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.
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