Drivers do not get enough time to take rest and sleep, especially truck drivers, tourist bus drivers and night shift drivers. Lack of sleep makes a driver drowsy and fatigued. This drowsiness causes severe accidents on the road. Driver Drowsiness detection is the latest technology to ensure the safety of the passengers, vehicles and cargo by alerting the drowsy driver well in time. It helps to prevent accidents as a large percentage of road accidents are caused by fatigued drivers. During a long drive if a driver feels drowsy then this system alerts the driver and prevents accidents. Statistics tell that almost 20% of road accidents are caused by drivers’ drowsiness and can result in serious injuries, vehicle damage and loss of precious cargo in the process
How does DDD (Driver Drowsiness Detection) work?
The driver drowsiness detection follows an algorithm. It records the driver’s “steering behavior” and movement as soon as the trip begins. It also monitors the changes in the behavior of the driver during the journey and records the driver’s level of fatigue. This system notices if there are any unusual actions through facial recognition system. Key inputs like eye closing duration, blinking frequency, yawning, red eye effect, ratio of eye height and width are tracked. If these exceed pre-defined thresholds, the system raises an alarm or warning. The system further passes the information to the control room so that they can take necessary preventive actions. This system incorporates vehicle position in lane monitoring, driver eye/face monitoring and physiological measurement.
Why is this system needed?
This DDD (Driver Drowsiness Detection) device is a lifesaving tool for all kinds of vehicles, and more so for large fleets carrying cargo over long distances. While vehicle tracking systems monitor the real-time movements of vehicles, the driver drowsiness detection system takes vehicle and fleet monitoring to the next level, ensuring safe transit of vehicles and prevention of fatal accidents. Every day scientists are trying to improve the technology behind its mechanism to make it more effective and useful. The importance of this device is:
● It warns the driver if he feels fatigued.
With the help of the facial images of the driver taken by the camera, it alerts the driver if he feels drowsy. The camera and the sensory device read the signs and if the signs are symptomatic of the driver’s drowsiness then it shows an icon or plays buzzer to alert the driver.
● It prevents the chances of microsleep
Microsleep is a brief state of drowsy unconsciousness that can happen even if your eyes remain open. DDD (Driver Drowsiness Detection) system produce sounds or alert signs which prevent the chances of microsleep.
● Alerting the driver prevents road accidents.
DDD (Driver Drowsiness Detection) system prevents accidents by alerting drivers. It only protects the life of the driver but also saves the lives of the passengers and important cargo. It helps to decrease road accident rates.
What are the chief components of the DDD (Driver Drowsiness Detection) system?
1. Computing model
2. Light sensitive camera
3. Interconnected computing model and Bluetooth speakers
4. Charger to the computing system
Fatigue detection is a difficult task. Using a video system to detect any abnormalities in driver’s facial changes, blinking patterns, etc is the latest technology. This system allows you to detect the right time of drowsiness. The speed of such a system is very important because even slight delays in the operation of such a system could be fatal. Science is a boon of modern life. Scientific gadgets like the DDD (Driver Drowsiness Detection) system protect life from unfortunate incidents.
Asti Infotech is revolutionizing the market with its innovative and best in class solutions which aim not only at fleet management but also ensure driver safety, thereby reducing loss of life & cargo and reducing overall maintenance and insurance costs for the clients. Asti Infotech’s driver drowsiness detection system can be easily installed in large vehicle fleets, thereby complementing the tracking and monitoring system. Some of the highlights of Asti’s DDD (Driver Drowsiness Detection) system include:
● Less invasive device and will certainly help avoid accidents due to fatigued drivers.
● AI based dynamic calibration which can fit all human beings.
● Automatic sleepiness and drowsiness alerts based on facial patterns.
● It works under both natural lighting conditions and dark and works with drivers accessories like glasses, hearing aids or cap.
● AI based real time alerts to driver and control centre / the person responsible.
● 4G enabled data transfer to dashboard.
● Customizable welcome message and other alerts.
● Reporting for all events i.e. device boot up, sleepiness, drowsiness, out of frame, keep alive, camera removal
● Supports OTA (over-the-air) software upgrade