Product Overview

The 5DT DriveVUE™ Operator Attentiveness Evaluation System (US Patents Pending) is an Artificial Intelligence (AI) system that uses a variety of sensors and machine learning algorithms to detect and track objects and to evaluate behaviours of operators or other persons in a scene. It detects and evaluates operator attentiveness and operator drowsiness. The system sends alerts to the operator and/or to a control centre.

Features

  • Mobile Phone Talking Detection
  • Mobile Phone Use Detection (e.g. Texting)
  • Drowsiness Detection
  • Hands Near Face Detection
  • Eyes Off Road Detection
  • Personal Protective Equipment (PPE) Detection
  • Facial Recognition of Operators/Occupants
  • Hours of Service Logging
  • Seat Belt Detection
  • Number of Occupants Detection
  • Unauthorized Occupant Detection
  • Unauthorized Object Detection (e.g. Guns)
  • Cargo Monitoring
  • Aggressive Driving and Braking Detection
  • Mirror Check Detection
  • Real-Time or Off-Line Processing
  • Operator/Occupant Images May be Masked
  • Multi Camera Support
  • Unauthorized Actions Detection (e.g. Drinking, Smoking, Eating, Makeup Application)
  • Capability to be Integrated into Existing Fleet Montoring Systems

Application Areas

  • Monitoring of Truck and Car Drivers
  • Monitoring of Construction Machine Operators
  • Monitoring of Pilots
  • Monitoring of Simulator Occupants & Simulation Participants
  • Monitoring and Supervision of Learner Drivers
  • Monitoring of Security Operators (e.g. viewing of video walls)
  • Monitoring and Analyses of Shopper Behavior
  • Monitoring of Mine, Plant or Factory Workers
  • Checking whether Workers are Wearing Their Personal Protective Equipment (PPE) (e.g. hard hats & safety glasses)
  • Monitoring of Occupants of Self-Driving Cars and Aircraft
  • Monitoring of Occupants of Taxis or Ride-Sharing Vehicles
  • Management of Fleet Driver Proficiency

System Description

The 5DT DriveVUE™ system consists of a Portable Device with a Camera looking at the operator/s. It uses Machine Learning and AI to detect specific events like texting, phone use and drowsiness and can alert the operator/s directly or send the information via an encrypted interface to a Server. Control room operators, supervisors and management can log onto the system via a Web App, to see what events have been detected, send a message to the operator/s, or get an instantaneous view of the operator/s in the case of an emergency.

System Overview
System Overview
Typical Web App view of the system
Typical Web App view of the system
Typical Map View as on the Web App, showing typical Icons
Typical Map View as on the Web App, showing typical Icons

Data Sheet

A data sheet of this product may be downloaded by clicking here.

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