Sample Videos

Key Highlights

  • OptiSol implemented an AI-powered PPE detection solution to monitor real-time compliance with safety protocols at industrial and construction sites.
  • The system identifies violations of PPE rules, including missing hard-hats, reflective vests, and safety goggles, ensuring worker safety.
  • Leveraging AWS IoT, Amazon S3, NVIDIA TensorRT, NVIDIA Jetson, and DeepStream, the solution provides accurate and fast detection with minimal hardware requirements.
  • Alerts are sent immediately when non-compliance is detected, enabling proactive corrective measures and reducing workplace hazards.

Problem Statement

01

Safety hazards: Workers not wearing PPE face higher injury risks, leading to increased compensation claims and liability issues.

02

Productivity loss: Accidents caused by PPE negligence result in downtime, affecting overall operational efficiency.

03

Regulatory risk: Failure to comply with OSHA regulations can lead to fines and penalties.

04

Reputation damage: Neglecting PPE safety is perceived as a lack of commitment to worker safety, impacting business credibility.

Solution Overview

01

Traditional safety measures such as manual monitoring, training, and signage were insufficient to prevent PPE violations.

02

OptiSol developed a deep learning-based computer vision model capable of detecting PPE compliance in real-time, including hard-hats, vests, and goggles.

03

The model is optimized for low-power, cost-efficient hardware using NVIDIA Jetson, TensorRT, and DeepStream for accelerated inference.

04

Alerts are automatically triggered for any detected PPE violations, enabling immediate corrective action and safer work environments.

05

Machine learning models, built on TensorFlow or YOLO frameworks, were trained with annotated data using transfer learning techniques to enhance accuracy.

About The Project

This success story demonstrates how OptiSol enhanced industrial safety by deploying an AI-powered PPE detection system. With rising safety risks, regulatory requirements, and the need for operational efficiency, traditional safety methods proved insufficient. OptiSol’s computer vision solution leverages advanced deep learning techniques and optimized hardware to monitor PPE compliance in real-time, automatically alerting supervisors to violations. This approach significantly improved on-site safety, ensured compliance, reduced operational costs, and strengthened the company’s reputation for safety.

Technology Stack:

FAQs:

How accurate is the detection?

The system uses transfer learning and optimized models to ensure high accuracy even in complex industrial environments.

Does it support real-time monitoring?

Yes, alerts are generated immediately upon detecting PPE violations to allow instant corrective action.

How does it help with compliance?

Automated monitoring ensures workers follow PPE regulations, reducing the risk of penalties and fines.

Can it improve productivity?

By preventing accidents and reducing downtime, workers can focus on their tasks, improving overall productivity.

How does it enhance the company reputation?

Demonstrating commitment to safety through advanced monitoring strengthens credibility and attracts potential clients.

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