SafeGuard AI Vision System
Computer vision platform for real-time safety compliance monitoring on production lines.
Client
Leading manufacturing organization
A precision manufacturing group extended their partnership with Maxwell to deploy AI-powered safety monitoring across 2 high-risk production lines handling heavy machinery and chemical processes.
Duration
10 weeks
Team
4 engineers
Industry
Manufacturing
Challenge
The business problem
Manual safety inspections missed 8% of PPE violations and hazardous conditions. Incident investigations relied on witness accounts with no visual evidence. Compliance audits required weeks of documentation compilation. Insurance premiums rising due to incident history.
Strategy
Our approach
Computer vision models trained on facility-specific camera feeds. Real-time alerts to supervisors when violations detected. Automated compliance reporting. Edge deployment for low-latency detection without cloud dependency.
Design process
- 1Safety audit observation across production lines
- 2Camera placement optimization with security team
- 3Alert UX designed for minimal supervisor disruption
- 4Compliance report templates aligned with audit requirements
Development process
- 1Custom YOLO model trained on 50,000+ facility images
- 2Edge deployment on NVIDIA Jetson for real-time inference
- 3React dashboard for alert management and review
- 4Automated daily/weekly compliance report generation
- 5Integration with existing ERP incident module
Technology stack
Key features delivered
- Real-time PPE compliance detection
- Hazard zone intrusion alerts
- Automated incident video clip capture
- Compliance dashboard with audit trails
- Supervisor mobile alerts
- Weekly automated compliance reports
Project screenshots
Client screens shown under NDA. Request a full demo walkthrough →
- automation
AI Monitoring Dashboard
Available on consultation
- dashboard
Compliance Analytics
Available on consultation
- dashboard
Alert Management
Available on consultation
Impact
Results & business impact
PPE and hazard detection
Automated vs. manual rounds
In first 6 months post-deploy
Premium reduction achieved
Client feedback
“The AI system catches violations our human inspectors miss—especially during night shifts. Compliance audits that took weeks now take hours.”
Project snapshot
99.2% detection accuracy
Primary outcome
- Industry
- Manufacturing
- Duration
- 10 weeks
- Team
- 4 engineers
Inspired by this project?
We'll scope a similar build with your workflows, integrations, and success metrics.
- <4hrResponse
- 4.9/5Satisfaction
- 50+Projects
- 15+Industries
Build your own success story
Book a consultation or explore documented case studies with measurable outcomes.
- <4hrResponse
- 4.9/5Satisfaction
- 50+Projects
- 15+Industries
We respond within one business day
