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Protective Wear Detection for Construction Workers
Protective Wear Detection for Construction Workers
Project Overview
Project Name
Protective Wear Detection for Construction Workers
Industry
HR (B2B SaaS)
Category
Medical
Objective
Protective Wear Detection for Construction Workers
Core Objective
To fully automate the recruitment process, from job descriptions to onboarding with AI without compromising quality.
Solution
A fully automated AI platform was developed to handle job descriptions, targeted ads, candidate sourcing, CV matching, interviews, assessments, and onboarding
Result
The platform reduced manual work by 90%,improved hiring efficiency and accuracy, and resulted in significant cost savings for the client
Introduction
Project Introduction
We were approached with an intriguing and crucial requirement: developing a deep learning-based protective wear detection system for the construction industry. The goal was to create an efficient model capable of identifying whether workers were wearing the necessary protective gear. This system needed to integrate seamlessly into real-time video monitoring setups, alerting supervisors instantly about any non-compliance. Our mission was to enhance safety protocols and ensure regulatory compliance in construction sites by providing an automated, reliable solution.
Problem
THE Problem
Ensuring all workers on a construction site wear appropriate protective gear is vital for safety but challenging to enforce. Manual monitoring is not only labor-intensive but also prone to oversight, especially on large sites with many workers. The primary challenge was to create a system that could accurately detect various types of protective wear, such as helmets, safety glasses, vests, gloves, and jackets, in real time and alert supervisors promptly. Missing any detail could lead to potential hazards and legal complications, making accuracy paramount
Solution
The Solution
We developed a sophisticated solution using a Deep Learning (YOLO) based architecture tailored for protective wear detection. Our model was trained to recognize a wide range of protective gear and integrated into a real-time video monitoring system. This system continuously analyzes video feeds, identifies any instances of non-compliance, and sends immediate alerts to supervisors. This approach ensures that safety protocols are adhered to without the need for constant human oversight.
How It Work
Here's how it works
Automated Job Descriptions & Targeted Job Ads
It puts out accurate job specifications and leverages AI to produce job postings that reach the suitable candidate.
Smart Talent Sourcing & CV Matching
I searches career portals and social media for top candidates, and automatically matches resumes to job descriptions, ensuring only the most suitable candidates are shortlisted
Interview Assistance & Assessments
The platform helps with interview questions and provides
specialized tests to assess candidates’ skills.
Automated Offer & Onboarding
Facilitates the job offer to negotiation and final onboarding
process to its best capabilities
━ Key Features
-
Comprehensive Detection:
Our model is adept at identifying various protective wear items, ensuring comprehensive coverage and compliance monitoring. -
Real-Time Monitoring:
Integrated into live video feeds, the system provides instant alerts to supervisors, enabling immediate corrective actions. -
Versatile Use Cases:
The solution can be deployed at entry points to ensure workers are properly equipped before entering the site and used across the site to monitor compliance continuously. -
Mobile Notifications:
Supervisors receive real-time alerts on their phones, allowing them to address non-compliance issues swiftly and efficiently. -
Improved Safety Protocols:
By automating the detection process, the system minimizes human error and enhances overall site safety.
Technologies
Tools & Technologies
Feedback
Client Feedback
“This platform has already made a huge difference. The amount of time we’re saving is incredible, and the automation is working exactly as we hoped.”
Martyn
“This platform has already made a huge difference. The amount of time we’re saving is incredible, and the automation is working exactly as we hoped.”
Martyn
Results
The conception of the AI recruitment platform provided an effective solution that encompasses complete end-to-end automation of the recruitment process. It greatly improved the process of recruitment for the client by cutting down work done by hand, increasing precision, and saving money. Here’s a breakdown of the key outcomes
Deliverables:
End-to-End Automation
It puts out accurate job specifications and leverages AI to produce job postings that reach the suitable candidate.
AI-Driven Tools
I searches career portals and social media for top candidates, and automatically matches resumes to job descriptions, ensuring only the most suitable candidates are shortlisted
Benefits:
90% Less Manual Work
The platform reduces the proportion of manual tasks in the
recruitment process to a very minimum, thus allowing HR
professionals to focus on more strategic work.
Increased Efficiency & Accuracy
CV matching and candidate assessments through AI help the
platform avoid human intervention and shorter time-to-hire,
and decrease the possibility of hiring the wrong people.
Cost Savings
It is extensively cost-effective because, through automation, it eliminates burdensome tasks and thus is able to conduct
recruitments at relatively cheap costs
━ Conclusion
This project represents a significant leap forward in construction site safety management. By leveraging deep learning and real-time video analysis, we’ve created a system that ensures workers’ compliance with safety protocols, thereby reducing the risk of accidents. Our solution not only saves time and resources but also fosters a safer working environment. This project underscores the transformative potential of AI and computer vision technologies in enhancing operational safety and efficiency in the construction industry.
Why Us?
Why Us
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- Office #301, 3rd Floor, Plot #80-C, Main Khayaban-e-Jami, Phase-VII, DHA Karachi
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