BusinessWire India
Ahmedabad (Gujarat) [India], March 27: drivebuddyAI , a leading innovator in AI-driven driver monitoring and safety solutions , is proud to announce that it has been granted a patent for its proprietary driver scoring algorithm, CARD (Cognitive Assessment of Risk for Drivers). This cutting-edge analytical framework leverages AI, computer vision, and real-time vehicle monitoring to assess driver behaviour and risk, setting a new standard of driver scoring, driver risk assessment & incentivization methods for fleet risk management.
Nisarg Pandya , CEO at drivebuddyAI shared his excitement about the announcement, stating, "CARD is a comprehensive risk profiling algorithm that integrates data from Advanced Driver Assistance Systems (ADAS) and Driver Monitoring Systems (DMS) installed in vehicles. The CARD algorithm processes vast amounts of contextual data, including driver alert compliance i.e. how well drivers respond to ADAS & DMS-generated in-cabin alerts, behavioural coaching history, which incorporates previous coaching interventions to measure improvement over time, environmental factors, positive driving behaviours , which recognizes proactive actions such as quick reaction times and compliance with alerts, and risk mitigation actions. This 360-degree assessment enables fleet managers to make data-backed decisions on driver assignments, risk mitigation, and overall fleet efficiency & safety enhancement."
Expanding upon the concept of ADAS & DMS, Nisarg Pandya added, " drivebuddyAI has developed one of the most accurate AI-powered driver monitoring systems, with over 1 billion kilometres of driving data analyzed and learned from across thousands of drivers. The system boasts a 92% validated accuracy rate in detecting risk-prone behaviours such as - phone use while driving, seatbelt non-compliance, drowsiness and fatigue detection, excessive driving hours related risks, forward collision warnings, tailgating and unsafe lane weaving etc."
He further added, "Traditional in-vehicle cameras alone cannot improve driver behaviour. drivebuddyAI 's approach combines real-time AI-based alerts, and fleet enforcement with pro-active monitoring and driver coaching. This holistic approach ensures measurable driver improvement within 6 months, significantly reducing accident probabilities and enabling fleet operators to optimize resource allocation. With data-driven risk indexing, fleet managers can identify high-risk drivers requiring intensive coaching, moderate-risk drivers with improvement potential, and safe drivers who maintain compliance and best practices."
Commenting on the latest innovation Rohan Malhotra, CEO of Roadzen said, "At Roadzen, we understand the critical need for data-driven risk reduction and safer mobility solutions. CARD marks a major leap in AI, equipping insurers, fleets, and logistics providers to prevent accidents, assess risks, and create a safer world. This patent solidifies drivebuddyAI 's leadership in AI for road safety, and we're thrilled to move forward towards safer streets and more intelligent insurance solutions."
Offering her viewpoint on advancing CARD, Kanaksvi Pacholi, a data scientist, weighs in at drivebuddyAI said, "CARD framework is about creating a fair and reliable way to assess driver safety in real-world conditions. We wanted to design a system to ensure that drivers aren't unfairly penalized for necessary actions, while still identifying risky patterns over time; a system that adapts dynamically to driving conditions, contextualizes risk, and remains resilient to manipulation. By leveraging precise event clustering and sensor data inputs, we have created a scoring model that not only detects unsafe driving but also encourages better driving habits through meaningful feedback."
Highlighting the practical implications of AI-powered driver surveillance, Nisarg Pandya We've encountered scenarios where drivers become drowsy and exhausted during extended trips, often experiencing these feelings at midday, in the afternoon, or even early morning. When they receive warnings, they recognize the danger and respond appropriately—such as pulling over to rest. There have been occasions when just one notification has averted major accidents, preventing substantial financial harm for businesses. Additionally, our technology has identified high-risk drivers, allowing fleet managers to modify timetables or alter travel paths using evidence-based risk evaluations. That’s the strength of AI—it transforms knowledge into preventive safety measures.
Expanding on the effects of drivebuddyAI Nisarg also mentioned that 's CARD technology could extend into areas outside fleet management. He explained, “Insurance companies might use this information to evaluate risks associated with usage-based insurance (UBI). They could streamline claim procedures utilizing AI-generated insights and boost the precision of their First Notice of Loss (FNOL) processes.” He envisions a system similar to CIBIL, wherein positive driving habits earn rewards, whereas dangerous behaviors incur penalties. Such an approach aims at fostering safer roads across the nation and significantly lowering fatality rates from accidents. We think that consistently guiding drivers via highly reliable technological tools can lead to behavioral shifts. Our observations show that many logistics clients have seen substantial improvements—cutting down serious incidents by around 85%.
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