Proactive Collision Prevention for Industry 5.0 Operations
Blind spots and limited operator visibility
Pedestrian–vehicle interaction
Speeding and sharp turns
Operator fatigue or distraction
Congested aisles and narrow spaces
Poor lighting or outdoor conditions
No real-time safety performance tracking
Pedestrian proximity
Vehicle speed and direction
Unsafe maneuvers
Operator behavior
High-risk zones
Issues real-time alerts
Automatically slows or stops the vehicle
Records the event with video evidence
Updates safety scores
Enables data-driven safety improvements
Detects people, vehicles, and obstacles in blind spots and high-risk zones.
Triggers controlled slowdown or emergency stop through PLC or relay integration.
Detects fatigue, distraction, and unauthorized operation using facial recognition.
Audio, visual, and system alerts warn operators before accidents occur.
Built for dust, vibration, rain, and 24×7 industrial environments.
All incidents are logged with timestamps and video for audits and training.
Vehicle movement patterns
Human proximity trends
Operator behavior
Environmental risk levels
Instead of reacting to accidents, Flagman predicts unsafe situations and intervenes early — enabling safer human–machine collaboration.
Near-miss frequency
Speed violations
Pedestrian proximity events
Response time to alerts
Repeat unsafe behaviors
Zone-based risk exposure
Operator performance comparison
Identification of high-risk zones
Measurable safety improvement
Data-driven safety reviews
| Stage | Description |
|---|---|
| Prevent | Identifies high-risk zones and unsafe behavior |
| Detect | AI detects pedestrians, obstacles, and violations |
| Respond | Alerts, slows, or stops the vehicle |
| Improve | Safety data improves policies and training |
Time-stamped video evidence
Violation and response logs
Operator activity history
Safety trend analytics
Audit-ready documentation
OSHA forklift safety guidelines
ISO 45001
Internal EHS standards
Live forklift status
Safety scores by operator & zone
Risk heatmaps
Incident timelines
Compliance reports
AI assists operators
Safety is predictive
Data drives decisions
Machines adapt to humans
Significant reduction in collisions and near-misses
Improved operator discipline and awareness
Real-time visibility across forklift fleets
Reduced downtime and damage costs
Strong compliance and audit readiness
Scalable across facilities and fleets
Forklifts, pallet trucks, reach trucks, stackers, tuggers, loaders, and more.
Yes. Designed for industrial and outdoor environments.
Yes. Through PLC or relay-based integration.
No. All safety logic runs locally on edge AI devices.
Yes. All events include timestamped video evidence.