Menu
Driver Fatigue & Distraction Monitoring System can help reduce accidents caused by driver exhaustion and distraction. The system monitors the car’s movements and assesses whether the vehicle is being driven in a controlled or uncontrolled way. Tiredness is a key cause of car accidents. Fatigue detection systems are a collection of technologies that aim to reduce this risk, and aim to reduce the chances of tiredness causing an accident by using sensors to monitor the driver and their driving style. If the system detects a high risk of the driver being drowsy, the driver is alerted via an audible signal. The technology provided helps prevent accidents caused by the driver getting drowsy. Various studies have suggested that around 20% of all road accidents are fatigue-related, up to 50% on certain roads.
The system monitors the performance of the driver, and provide alerts or stimulation if the driver seems to be impaired. Driver and vehicle monitoring systems may monitor both driver and vehicle behaviour. Information can be gathered from driver input and control of the vehicles lateral position and speed, such as acceleration, steering wheel movement and lane position. Likewise, user behaviour such as eye movement, facial feature movement. A real-time driver facing camera in the vehicle that uses Artificial Intelligence (Computer vision algorithms) to detect and track the face and eye of the drivers. Head nod, head rotation and eye blinks are then detected as indicators of driver, and Advanced Driving Assistance (ADAS) capabilities.
Our Driver Fatigue & Monitoring Systems (V-IVMS) typically use a driver-facing camera equipped with infrared light-emitting diodes (LEDs) or lasers so that it can “see” the driver’s face, even at night, and see the driver’s eyes even if the driver is wearing dark sunglasses and can detect risky driving behaviour including mobile phone use, fatigue, distraction, not wearing a seatbelt, smoking, unsignaled lane departure, unsafe following distance and warn of an imminent forward collision.
The instant risky driving behaviour is detected, the driver is alerted through an audible or visual alert (or both) that they need to correct their behaviour before it escalates into a collision. This primary, real-time intervention significantly reduces the amount of risky driving behaviour in a fleet.
Addressing risky driving behaviour is the key to holistically managing driver performance, as it results in poor safety outcomes including collisions and inefficient fuel use.V-IVMS risky driving behaviour events and associated video footage are available for driver managers in our fleet management platform and mobile app.
The road-facing camera detects AI events whilst on the road including collision warning, lane departure and following distance.
The driver-facing camera detects driver events including seatbelt, fatigue, phone use, distraction and smoking.
The in-cab camera records real-time visual and audio footage of the cab interior (no AI events).
The road-facing camera detects AI events whilst on the road including collision warning, lane departure and following distance.
The driver-facing camera detects driver events including seatbelt, fatigue, phone use, distraction and smoking.
The in-cab camera records real-time visual and audio footage of the cab interior (no AI events).
With a growing concern for organizations with fleets and assets to manage, FMSi is recognized as a truly leading pioneer for the provision of premium fleet management and mobile asset tracking services in the region. Our solution enables organizations to actively manage cars, vans, trucks, buses, trailers, containers and other mobile assets.
FMS-International @ 2022 | Build By Numan Webs