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On Tue, 27 Aug, 12:01 AM UTC
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AI now helping in reducing car accidents in India; Here is how it works
Netradyne's AI device, co-created by Avneesh Agrawal and David Julian, has significantly decreased road accidents in commercial fleets. The device alerts drivers to distractions and adverse weather while analyzing behavior over time, leading to safer driving practices. Their generative AI platform aims to improve these predictions further. As Artificial Inteligence takes over the world, the emerging technology has been now helping in reduction in road accidents by almost half in a few months. Avneesh Agrawal says, their AI device is having on customer fleets globally. In India, which has the world's worst road fatalities record, the effect could be dramatic. Avneesh, who spent years at Qualcomm, including as its research head, and who holds over 200 patents, developed the product together with Qualcomm colleague David Julian as part of a venture called Netradyne that they founded in 2015. Netradyne today has about 800 employees globally, with the majority of its R&D team in India. The company has over 3,000 customers, all of which are commercial fleets - taxis, limousines, school buses, large inter-state vehicles. Customers are across the US, India, Canada, UK, Australia, New Zealand, and Germany. How does the device work? The device integrates multiple sensors - GPS, LTE connectivity, several cameras, inertial sensing unit - and is fitted on the windshield. A software ties it all together. "The real innovation is in the software where we are running all of the algorithms at the edge and really understanding the world around us," Avneesh told ToI. The AI in the device can figure out if the driver is distracted, drowsy, speaking on the phone, following too close to another vehicle, not following traffic signs. And accordingly, it can alert the driver with a beep and even inform the fleet safety manager. As the system tracks a driver's behaviour over time, it also assigns each driver a green zone score', an estimate of the driver's risk of having an accident. The latest version of the product also has micro weather recognition capabilities. It can detect if there is snow on the road, if there is fog. "So, now we can provide combo alerts, combine the driver behaviour and weather conditions, and accordingly modify the alert definitions," Avneesh told ToI further. (with ToI inputs)
[2]
AI now helping in reducing car accidents in India; Here is how it works
As Artificial Inteligence takes over the world, the emerging technology has been now helping in reduction in road accidents by almost half in a few months. Avneesh Agrawal says, their AI device is having on customer fleets globally. In India, which has the world's worst road fatalities record, the effect could be dramatic. Avneesh, who spent years at Qualcomm, including as its research head, and who holds over 200 patents, developed the product together with Qualcomm colleague David Julian as part of a venture called Netradyne that they founded in 2015. Netradyne today has about 800 employees globally, with the majority of its R&D team in India. The company has over 3,000 customers, all of which are commercial fleets - taxis, limousines, school buses, large inter-state vehicles. Customers are across the US, India, Canada, UK, Australia, New Zealand, and Germany. How does the device work? The device integrates multiple sensors - GPS, LTE connectivity, several cameras, inertial sensing unit - and is fitted on the windshield. A software ties it all together. "The real innovation is in the software where we are running all of the algorithms at the edge and really understanding the world around us," Avneesh told ToI. The AI in the device can figure out if the driver is distracted, drowsy, speaking on the phone, following too close to another vehicle, not following traffic signs. And accordingly, it can alert the driver with a beep and even inform the fleet safety manager. As the system tracks a driver's behaviour over time, it also assigns each driver a green zone score', an estimate of the driver's risk of having an accident. The latest version of the product also has micro weather recognition capabilities. It can detect if there is snow on the road, if there is fog. "So, now we can provide combo alerts, combine the driver behaviour and weather conditions, and accordingly modify the alert definitions," Avneesh told ToI further. (with ToI inputs)
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Artificial Intelligence is making significant strides in improving road safety by helping to reduce car accidents. This article explores how AI-powered systems are being implemented in vehicles and infrastructure to prevent collisions and save lives.
In recent years, Artificial Intelligence (AI) has emerged as a powerful tool in the fight against road accidents. With the increasing integration of AI technologies in vehicles and traffic management systems, there's a growing optimism about significantly reducing the number of accidents on our roads 1.
One of the most promising applications of AI in road safety is the development of advanced collision avoidance systems. These systems use a combination of sensors, cameras, and AI algorithms to detect potential hazards and take preventive action. For instance, AI can analyze the speed and trajectory of nearby vehicles, pedestrians, and obstacles in real-time, alerting the driver or even automatically applying brakes if a collision seems imminent 2.
AI is also being employed to predict and prevent vehicle malfunctions that could lead to accidents. By analyzing data from various sensors throughout the vehicle, AI systems can detect potential issues before they become critical. This predictive maintenance approach not only enhances safety but also helps in reducing unexpected breakdowns and extending the lifespan of vehicles 1.
Beyond individual vehicles, AI is revolutionizing traffic management systems. Smart traffic lights powered by AI can adapt to real-time traffic conditions, optimizing flow and reducing the likelihood of accidents at intersections. These systems can also prioritize emergency vehicles, ensuring faster response times in critical situations 2.
AI algorithms are being used to analyze driver behavior and provide personalized coaching. By monitoring factors such as speed, braking patterns, and adherence to traffic rules, these systems can offer real-time feedback to drivers, encouraging safer driving habits. Some insurance companies are even using this technology to offer incentives for safe driving, further motivating drivers to improve their skills 1.
While the potential of AI in reducing car accidents is immense, there are challenges to overcome. Issues such as data privacy, the reliability of AI systems in extreme conditions, and the need for standardization across different manufacturers and countries need to be addressed. However, as AI technology continues to evolve and improve, its role in enhancing road safety is expected to grow significantly in the coming years 2.
Reference
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Union Minister Nitin Gadkari announces plans to leverage AI and innovative technologies to improve road safety, reduce accidents, and streamline traffic management across India.
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3 Sources
India is implementing NVIDIA's accelerated computing technology to streamline tollbooth operations, reduce traffic congestion, and enhance the overall driving experience on its highways.
3 Sources
3 Sources
Researchers at the University of Georgia have developed a novel AI model for self-driving cars that integrates traffic prediction and vehicle motion planning, potentially reducing the risk of accidents and improving road safety.
2 Sources
2 Sources
The Economic Times Road Safety & Safer Mobility Forum 2024 highlights the importance of technology and industry collaboration in improving road safety and logistics efficiency in India.
2 Sources
2 Sources
Netradyne, a leader in AI-powered fleet management solutions, has raised $90 million in Series D funding to expand its innovative driver safety technology globally and accelerate R&D efforts.
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3 Sources
