AI-Driven Carbon Soot Detection for Enhanced Compliance and Efficiency

Key Highlights

  • OptiSol introduced an AI-based Carbon Soot Detection System for continuous conveyor belt surveillance, enhancing detection precision and operational efficiency.
  • The client experienced unreliable manual soot detection, struggled with infrequent soot occurrences, and faced high labor costs.
  • OptiSol implemented high-visibility cameras, an automated alert system, and 24/7 monitoring with SMS notifications to streamline compliance.
  • The automation improved compliance, lowered labor costs and errors, and bolstered safety measures, resulting in cost savings and reduced production delays.

Problem Statement

01

Inconsistent Detection: The client faced unreliable manual detection of carbon soot on conveyor belts, leading to potential non-compliance and delays in necessary corrective actions.

02

Infrequent Occurrence: The client faced difficulties in detecting carbon soot, which appears only thrice in a month, making it challenging to identify and address the issue promptly.

03

High Operational Costs: Increased labor costs and inefficiencies resulted from manual detection in a 24/7 operational environment, with human errors contributing to production delays.

Solution Overview

01

OptiSol implemented an AI-based Carbon Soot Detection System using computer vision for continuous 24/7 monitoring, ensuring accurate detection of carbon soot and minimizing compliance risks.

02

We installed high-visibility cameras positioned 2-4 meters from the conveyor belts, to effectively detect carbon soot particles and address the challenge of infrequent occurrences.

04

Our solution features an automated alert system that captures images of carbon soot and triggers a loudspeaker alarm, enabling immediate staff response and reducing production disruptions.

05

By automating carbon soot detection, we significantly reduced manual labor costs and minimized errors, enhancing operational efficiency and reducing production delays.

Business Impact

01

Enhanced Compliance: Automating carbon soot detection improved safety compliance and operational efficiency by ensuring timely corrective actions and reducing production delays.
0
%
Reduction in Delays

02

Cost Reduction: Automation process reduced the labor costs and minimizes errors, leading to significant savings and better resource use, enhancing overall production efficiency.
0
%
Decrease in Labor Costs

03

Improved Safety Measure: Real-time alerts and automatic logging of carbon soot incidents improved safety and incident management, enabling prompt responses and better hazard tracking.
0
%
Reduction in Human Errors

About The Project

OptiSol implemented an AI-based carbon soot detection system that utilized computer vision and high-visibility cameras to monitor conveyor belts continuously. Our solution provided accurate soot detection and delivered timely alerts via automated alarms and SMS notifications. This approach enhanced safety compliance and operational efficiency while cutting labor costs. Real-time logging and tracking further supported process improvements and minimized production disruptions.

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