In the dynamic world of fleet management, one technology stands out as a game-changer: Video Telematics. Coupled with the transformative power of Artificial Intelligence (AI), this innovation promises to revolutionize the way fleet operators and drivers conduct business, primarily by improving safety and efficiency on the road.
Video telematics combines GPS data, video data, and vehicle performance data to provide a comprehensive picture of your fleet’s activities. It allows you to see, track, and analyze events and behaviours like never before. However, it’s not merely the integration of these technologies that makes video telematics so remarkable; it’s the application of AI for video analysis that takes it to a whole new level.
Enhancing Safety with Video Telematics
Safety is of paramount importance for any fleet. Video telematics, with AI analysis, provides real-time visibility into both the interior and exterior of the vehicle. In doing so, it helps identify and mitigate risky driving behaviours such as distracted driving, speeding, or harsh braking. By continuously monitoring and assessing driver behaviour, fleet managers can provide constructive feedback, promote safe driving habits, and reduce the likelihood of accidents.
Moreover, video evidence from telematics can also be invaluable in the unfortunate event of an accident. It helps provide context to incidents, support insurance claims, and defend against fraudulent lawsuits. Thus, not only does video telematics promote safety, but it also protects your company’s reputation and bottom line.
Expanding Capabilities with a Comprehensive Fleet Management Platform![visiontrack video telematics](https://www.lvmtrack.com/wp-content/uploads/2023/04/vt-section1-devices.jpeg)
While video telematics and AI offer impressive advantages on their own, integrating them into a comprehensive fleet management platform multiplies their benefits.
This will allow you to manage all aspects of your fleet though a centralized platform, making it easier to monitor vehicle health, driver behaviour, fuel consumption, and more. It also enables seamless data sharing and reporting, improving transparency and accountability within the fleet.
Moreover, a versatile platform will also offer APIs for easy integration with other business systems such as HR, Payroll, and CRM, providing you with a holistic view of your operations and facilitating data-driven decision-making.
NARA (Notification, Analysis and Risk Assessment) – Ground-breaking computer vision model
NARA (Notification, Analysis and Risk Assessment) is a ground-breaking computer vision model to automatically remove false positive events. NARA is changing how driving events are analyzed by automatically reviewing and validating incident footage. NARA distinguishes between driving incidents and false positives to provide a fast and highly accurate AI solution to the fleets and their insurance partners. This significantly reduces the number of incidents that require manual validation and eliminates the issue of human availability or error.
Using the latest in AI, computer vision and machine learning
NARA uses some of the latest advances in AI, computer vision and machine learning. This provides commercial fleets with accurate incident validation and supports proactive risk intervention.
Providing an added layer of analysis
Following a video upload to the IoT platform – triggered by a connected camera device – NARA will determine exactly what has occurred. This complements a camera’s 100Hz accelerometer, which captures accurate speed and g-force data at a frequency of 100 times per second.
Automatically validate footage in eight seconds
NARA takes just eight seconds to automatically validate footage of collisions and near misses using advanced object recognition to identify nearby road users and their proximity at the point of the suspected incident and, if necessary, generate a high-priority alert. With a high degree of speed and accuracy, it is possible to eliminate false positives that are generated by harsh driving, potholes or speed humps.
Advanced object recognition with 99% accuracy
Advanced object recognition software uses deep learning algorithms to automatically identify different types of vehicles, cyclists and pedestrians. With accuracy levels already exceeding 99%, where the collision occurs in view of the camera, the platform detects, tracks and alerts on actual events.
Immediately identify if a driver needs support
NARA includes Occupant Safety Rating (OSR) that translates forces experienced within the vehicle to calculate the percentage probability of injury, so fleets can immediately identify if a driver needs support. This early warning system provides a safety net that saves lives and minimizes driver distress.
The future of fleet management is AI-powered video analysis
By integrating these technologies into a comprehensive fleet management platform, you can fully harness their potential, elevating your fleet operations to new heights. Whether you’re running a small business or a large enterprise, the future of fleet management is here.
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