In the ever-moving world of fleet management, safety is paramount. Ensuring the well-being of your drivers, vehicles, and the reputation of your business is not just a goal; it’s a necessity. This is where the transformative power of AI Video Telematics comes into play. In this blog, we’ll delve into video telematics solutions. We’ll explore how they enhance fleet safety and pave the way for a safer and more efficient future in fleet management.
Table of Contents
Fleet Management Challenges Faced by Businesses
Limited Safety Oversight
Without video telematics, businesses are operating with a significant blind spot. They lack the means to observe and analyze driver behavior and incidents that occur on the road. This limitation poses a considerable challenge when it comes to ensuring the safety of both drivers and vehicles.
According to the National Crimes Record Bureau (NCRB), 25.7% of accidents in India occurred due to dangerous or careless driving or negligence
Risk of Accidents and Liability
The absence of video evidence in the event of accidents or incidents means that businesses have limited means to establish liability. Without this crucial evidence, it can be challenging to determine who was at fault in an accident.
This ambiguity can result in higher insurance costs for businesses, as they may end up bearing the financial burden for accidents they did not cause. Moreover, the lack of clear evidence can lead to legal disputes and potentially lengthy legal battles.
Driver Productivity
Video telematics is a valuable tool for monitoring and improving driver behavior. Without this, businesses struggle to address issues like aggressive driving, excessive idling, and inefficient time management. This can negatively impact driver productivity and result in decreased efficiency in daily operations.
Read more: Crucial Factors in Indian Accidents
Enhancing Fleet Management with AI Video Telematics
The significance of AI video telematics lies in its ability to enhance safety by monitoring and improving driver behavior in real time. This way video telematics provides irrefutable evidence to protect against fraud. This technology is of particular importance in countries like India, where road safety and efficiency are critical concerns. Let’s explore AI telematics and see how it ensures safer fleet management.
Real-time View with Advanced Driver Assistance Systems (ADAS)
ADAS plays a pivotal role in enhancing real-time video monitoring of drivers, vehicles and their surroundings. These systems are a crucial part of video telematics offering blind-spot monitoring, vital in preventing accidents caused by human errors.
Each year, around 150,000 people lose their lives on Indian roads, averaging to 1,130 accidents and 422 fatalities daily, as reported by the Ministry of Road Transport and Highways 2021 survey.
The FleetRobo’s AI video telematics solution comes with level 0 ADAS along with 6 high-resolution real-time streaming cameras. This gives drivers a complete bird’s eye view of the vehicle to prevent any potential accidents caused by lack of view.
Accident Reconstruction for Simplified Insurance Claims
AI Video telematics can actively analyze video footage to identify signs of accidents. This proactive approach can save business from unwarranted financial losses. With incident reconstruction, companies can provide accident footage to insurance companies for successful claims.
For example, FleetRobo’s video monitoring solution comes with occupant detection mechanism. So, in unfortunate event of vehicle crash, this ai telematics system can easily detect number of people sitting in the vehicle, find out if they were wearing a seatbelt or not, etc.
Companies can then generate reports from FleetRobo’s AI video telematics solution during insurance claims to speed up the claims process.
Fatigue Management with Driver Status Monitoring (DSM)
Taking on long distance journeys without rest and proper stoppage can result in fatigue and dizziness. Data published in the ‘Road Accidents in India’ report states 3,081 fatigue-related accidents, resulting in 706 deaths and 3,383 injuries in 2015. So, alertness of the driver is another thing which needs to be tracked by an AI video telematics system.
FleetRobo’s AI assisted Driver Status Monitor (DSM) uses a combination of sensors and cameras to keep track of driver dizziness. This also provides drivers with timely warnings to take corrective actions.
Context Aware Alerts for Regulatory Compliance
Video telematics solutions can identify objects or obstacles in the vicinity of a commercial vehicle. Object recognition can vary from detecting other vehicles, people, pedestrians, etc. It uses computer vision by leveraging hardware sensors and video feeds from AI CCTVs.
FleetRobo’s smart AI video telematics system uses video analytics to detect traffic signal violation, overspeed, lane switching, tail gaiting and near misses. In case the driver participates in such rash behavior, the system will generate alerts of the activity and notify the designated persons within 60 seconds (it can be configured for lower time limit).
Fleet & Driver Analytic Reports
Keeping track of fleet and fleet operators is just as necessary. Data collected from video monitoring solution can be used in data analytics models to detect fleet health and get driver insights. By analyzing footage and correlating it with vehicle diagnostics, fleet managers can spot early warning signs of mechanical issues.
FleetRobo’s AI video telematics system provides detailed analytics reports by analyzing incoming data from GPS sensors and video cameras. These reports can be generated on a daily, weekly or monthly basis with the simple click of a button from the dashboard.
Detect the Driver function
FleetRobo’s AI video telematics can also identify instances like driver blocking the camera, being absent from the driver’s seat, someone else driving the vehicle, driver indulging in smoking, using the mobile phone, etc. Our AI in video telematics can also detect another driver apart from the assigned one is driving the vehicle.
The Future of Fleet Management
Autonomous Vehicles
With rising adoption of 5G and IoT, autonomous vehicles are becoming more and more common. AI video telematics can be used in interconnected vehicles to get updates of neighboring vehicles, road conditions, etc.
According to Statistica, 1 in 10 vehicles by 2030 will be powered with self-driving technology. And the integration of AI in telematics is a crucial phase in this transition.
Regulatory Compliance
As governments impose stricter safety and environmental regulations, AI telematics solutions are becoming vital for compliance. They provide GPS locations, video recordings, fleet metrics and AI based suggestions for better compliance with regulatory changes.
AI Video Telematics ensures that your fleet operates within the legal framework.
Interconnected Vehicles
The synergy with video telematics and IoT makes connectivity between vehicles much easier. Vehicle-to-Vehicle (V2V) connectivity allows real-time data exchange between surrounding vehicles. Here, video telematics system provides vital visual insights for enhanced driver safety.
Conclusion
The synergy of AI and Video Telematics offers a multi-faceted approach to safety, encompassing real-time video monitoring and proactive risk assessment. As the future of fleet management unfolds, the integration of autonomous vehicles further solidifies the role of AI in this industry. It’s a journey towards a future where safety and efficiency converge together.