Computer Vision

Enhancing Industrial Safety & QA with Nexa AI

Overview

Nexa AI is an advanced AI and computer vision-powered solution built to elevate safety standards and quality assurance in manufacturing and construction environments. Designed to operate in complex, high risk workspaces, Nexa AI can detect and classify over 60+ industrial objects with precision. It is currently deployed by industry leaders such as Nestlé, Tetra Pak, and CCI.

The Challenge

Industrial environments face daily challenges around safety and operational compliance. Traditional systems fall short in addressing real-time safety risks due to:

Manual monitoring that's prone to human oversight

Lack of automated enforcement of PPE rules

Slow response times in high-risk or emergency situations

Inability to detect anomalies or near-miss incidents proactively

The Solution

To meet these challenges, Nexa AI introduced a computer vision–based monitoring system tailored to the complexities of industrial safety.

Automated People & Intrusion Tracking
Nexa AI tracks worker movement and identifies unauthorized personnel entering restricted zones. It automatically flags breaches, reducing the reliance on manual observation.
Anomaly & Flame Detection
The system detects unusual changes in the visual environment such as unexpected motion, object placement, or small flame ignition and sends instant alerts to response teams.
Real-Time PPE Compliance Detection
Before a person enters a site, the system scans for helmets, safety vests, gloves, and other required gear. If gear is missing, access is denied or a violation alert is triggered.
Pathway Violation Monitoring
Designated pathways are monitored for blockages, equipment misplacement, or human traffic deviations that could pose a risk.

Results

20% reduction in safety incidents, thanks to proactive violation alerts
Instantaneous PPE enforcement, improving overall discipline and compliance
Faster hazard response times, minimizing downtime and incident escalation
Improved audit trails and documentation for reporting and inspections

Technology Stack

Ultralytics YOLOv8
OpenCV
PyTorch
React Native
FastAPI
PostgreSQL

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