Real-time PPE detection based on YOLO. Open high-quality dataset.
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Updated
Nov 3, 2022
Real-time PPE detection based on YOLO. Open high-quality dataset.
Construction Website Portfolio
Tool for detecting cracks on construction materials (based on YOLO V8 + SAHI). Simple measurements made easy with a GUI
Landing Page for the Construction Site, HNG7 Internship
Moxx.co.ke Construction website. It encompasses marketing and ways through which clients can reach Moxx organization.
Automated image scraper powered by Deno KV and GitHub Actions. Scrapes a live photo of the Las Vegas Formula 1 track build every ~10 minutes.
This project is for construction material recognition from the images collected at a construction site.
Hackathon for construction sites
Desain website modern dan responsif yang disesuaikan untuk bisnis konstruksi. Desain ini memastikan pengalaman pengguna yang mulus di semua perangkat, dari desktop hingga mobile. Dengan penekanan pada menampilkan layanan, proyek, dan keahlian perusahaan, template ini sangat cocok untuk kontraktor, perusahaan konstruksi, dan pembangun.
This web app manages construction sites, tracks worker activities, and handles photos of receipts for construction material purchases, offering features like task recording, performance charts, and report generation.
An approach to solve crane placement problem in construction site layout planning using linear optimization, as explored by Dr Justin Yeoh. Adapted from code produced by Dr Justin Yeoh on line 784 of scp_old.py
Official code for "Deep-Learning Based Construction Progress Tracking and Material Counting Using Existing Site Surveillance Camera"
In the context of a modern construction site, autonomous robots are tasked with monitoring the execution of work to estimate its advancements, and to ensure safety and efficiency. Equipped with various sensors and tools, these robots must navigate the site, inspect ongoing tasks, and report any discrepancies or hazards.
Selenium is the 10 page based construction website
Utilizing synthetic images to enhance the automated recognition of small-sized construction tools
This is a computer vision project that uses YOLOv9-e model and checks if workers wear their Personal Protective Equipment (PPE) and if they keep a safe distance from work machines.
This website is worked as portfolio of showing different constructions projects and it is beneficial for builders, civil engineers and contractors. Very clean UI not complex elements are used in this.
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