MDVR has many benefits besides data transmission and video recording. One of the most advanced aspects of MDVR is the implementation of artificial intelligence. It leverages machine learning and neural networks to enhance capabilities and procession speeds. This helps AI-MDVR in providing advanced driving alerts and facial recognition for a safer fleet. In other words, your truck will have an additional pair of eyes on the road.
Let us now discuss what artificial intelligence is and how it can be used to assist mobile assets for protection and awareness.
AI technology sounds more like science fiction than reality to many people, but this technology works tremendously in real life. Unlike programs coded to run in a specific way, AI runs on algorithms that adapt and change based on the newly available data and the environment.
For example, some types of AI are capable of learning to play chess, create art and write music by analysing a large number of data sets. They can learn patterns and get better at guessing the behaviour in a series and the more the process, the more accurate they get.
AI has significant potential in all types of industries and applications because of its ability to absorb new information, analyse it and learn complex patterns. In MDVR, this technology is used to capture videos and interpret the images and environment. Due to this, the system can determine if a scenario is dangerous or not and accordingly alert the user.
Driving Behaviour Analysis
By monitoring driver fatigue and attention to determine if a person is Sleepy or Yawning, AI-MDVR can change the landscape of driver safety. In the past, fleet managers didn't have any means to control potentially hazardous behaviours. This made it difficult to effectively train and coach drivers to be safe on the road and their safety ultimately depended only on them.
Artificial intelligence is used by MDVR or Dashcams in a few different ways. Here are some of the cases in greater detail.
ADAS uses artificial intelligence to identify and react to hazards. The features need advanced algorithms that process data quickly to identify and react to hazards. Moreover, AI also provides analytics that improves the system's ability to identify specific scenarios such as frontal hazards, lane departure and more. And as we have already established, the longer the AI is in action, the more accurately it can analyse situations and help protect people from danger.
Quick processing speeds allow the system to absorb information like live video, direction, speed, and other variables to determine the situation and how an accident can be prevented. These calculations are instantaneous to ensure that the warning is given, and action is taken in time.
By helping correct unsafe driving practices, AI-enhanced ADAS in MDVR can help minimise accidents on the road, ultimately reducing the cost of fleet maintenance, repairs, and insurance in the long run.
Like ADAS, driver monitoring systems offer an extra layer of protection to companies through advanced monitoring. While ADAS focuses on what is happening outside the vehicle, DMS uses a driver-facing camera to focus on the part of the operator.
Therefore, AI can be used to coach drivers and provide opportunities for new functions, such as autonomous and semi-autonomous driving.
Facial recognition has improved significantly in recent years because of AI.
For instance, AI can recognize closed eyes and yawn, the actions that suggest the driver is tired and needs a break.
Along with monitoring the actions of the driver, facial recognition also enables automatic identification.
Only authorized individuals must drive company vehicles to prevent theft. Moreover, an automatic driver ID facilitates tracking of working hours and eliminates the need for manual reporting. By streamlining the reporting process, businesses can focus more time and energy on operations.
A great example of the future of both DMS and ADAS is General Motors' Super Cruise function. First introduced in the year 2017 for Cadillac, this function uses GPS mapping, autonomous cruise control, facial recognition, and lane detection to particularly help drivers during extended drives.
It helps drivers relax but the system continues to monitor the driver to ensure they're paying attention. The feature issues an alert if the driver is sleeping or distracted.
GM has now expanded the availability of Super Cruise to several Chevrolet and GMC vehicles, as well as additional Cadillac models.
Though artificial intelligence can seem intimidating on the surface, it is the next step in the advancement of video telematics. Apart from its application in transportation, it has significant potential in manufacturing, medicine, finance, and various other industries.
Mayika offers DMS & ADAS through their MDVR & Dashcams, contact Mayika today to know more about our video telematics, GPS tracking, and fleet management capabilities.