Detect risk early. Prevent incidents before they happen

SafeVision AI-powered video safety is an integrated fleet safety intelligence system that not only detects unsafe driving but also validates, scores, and analyzes risk across drivers and vehicles in real time.

Unlike traditional dashcams that rely on post-incident video review, the system combines AI detection (ADAS, DSM, BSM) with a centralized safety dashboard that continuously evaluates driver behaviour, compliance, and incident patterns.

This enables fleets to move from passive video recording to proactive safety management with measurable performance tracking and risk visibility.

The system continuously processes video and telematics data to detect safety events across multiple layers of risk. Detection and analysis are driven by:

• AI Safety Models (ADAS, DSM, BSM) for real-time risk detection
• Driving behaviour tracking (overspeeding, harsh braking, acceleration, cornering)
• Event categorization and distribution across the fleet

All detected events are aggregated into the Advanced AI Safety Dashboard, where trends, event frequency, and risk categories are visualized over time for operational analysis. This allows fleet managers to not only identify incidents—but also understand where, when, and why risks occur.

The system includes a structured event validation workflow to ensure data accuracy and operational reliability.

Each safety event is:

• Logged with timestamp, location, and contextual driving data
• Linked to video or image evidence for verification
• Reviewed through an event validation process

This validation layer ensures that only confirmed incidents are used for reporting and decision-making, reducing false alerts and improving trust in the system.

SafeVision converts safety data into performance intelligence through structured scoring and benchmarking. The system evaluates:

1. Driver and vehicle safety scores based on AI safety, behaviour, and compliance metrics
2. Performance distribution across the fleet (e.g., top vs bottom performers)
3. Event trends and risk patterns over time

Managers can drill down into individual driver or vehicle reports, review incident history, and take targeted corrective actions—enabling continuous improvement by turning safety data into actionable performance insights.

Every safety event is recorded, verified, and structured into audit-ready reports aligned with compliance frameworks such as APAD ICOP and ISO 39001.

By combining detection, validation, and analytics, the system helps fleets:

• Reduce accident-related costs through early risk detection
• Minimize downtime with proactive intervention
• Improve compliance with traceable safety records
• Optimize operations using centralized safety insights

Because all safety data is unified within a single platform, fleets can manage risk, performance, and cost control without relying on fragmented systems.

Yes. SafeVision extends beyond on-road fleets into warehouses, distribution centers, and industrial sites—bringing the same predictive safety intelligence to specialized assets.

The system adapts its AI detection logic to suit controlled, non-road environments, delivering real-time operator monitoring, safety enforcement, and incident capture for forklifts and other material handling equipment.

Core capabilities for forklift operations include:

1. Operator identity & access control (e.g., Face ID verification)
2. Real-time unsafe behaviour detection with instant in-cabin alerts
3. Speed monitoring with throttle control to prevent unsafe movement
4. Seatbelt detection and safety compliance enforcement

Every event is captured with video evidence, timestamp, location, and operator identity—creating a complete, auditable record for incident investigation, safety enforcement, and continuous operational improvement.