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Case studies

Human vs vehicle Detection
Challenge

The client faced a growing safety concern: frequent near misses and several recorded PME vs. pedestrian incidents. Despite physical barriers and signage, PME drivers often had limited visibility, especially in blind spots and high-traffic areas. Traditional safety measures were not sufficient to prevent dynamic, real-time risks.

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Solution: Human Detection via CCTV and Wireless Alert System

To address this, the client deployed a smart surveillance system using:

  • AI-enabled CCTV cameras with human detection capabilities.

  • Wireless alert systems integrated into PME cabins.

  • Real-time notifications to drivers when pedestrians entered designated danger zones.

System Features

  • Human Detection Algorithms: Cameras continuously scan for human shapes and movement patterns, distinguishing pedestrians from machinery.

  • Zonal Monitoring: High-risk areas (e.g., intersections, blind corners, loading zones) were mapped and monitored.

  • Driver Alerts: When a pedestrian is detected within a PME’s operating zone, the system sends:

    • Visual alerts on in-cabin screens

    • Audible warnings to prompt immediate caution

  • Data Logging: All detections are logged for safety audits and training purposes.

Incident Prevention Example

In August 2025, a pedestrian entered a blind spot near a reversing forklift. The system detected the person within 2 seconds, triggering:

  1. A flashing alert on the forklift’s dashboard.

  2. An audible warning to the driver.

Results

  • 65% reduction in near-miss incidents within the first 3 months.

  • Zero PME vs. pedestrian injuries since deployment.

  • Improved driver response times and situational awareness.

  • Enhanced safety culture and compliance with workplace safety standards.

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