What is the New Technology in 2 wheeler segment with AI

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  • Advanced driver assistance systems (ADAS): ADAS use AI to provide riders with a variety of safety features, such as lane departure warning, blind spot detection, and adaptive cruise control. These features can help to prevent accidents and make riding a two-wheeler safer.
  • Self-driving two-wheelers: As mentioned earlier, self-driving two-wheelers are still in the early stages of development, but they have the potential to revolutionise the way we travel. These vehicles would be able to navigate roads and traffic without human input, which could make them safer and more efficient than traditional two-wheelers.
  • Virtual assistants: Virtual assistants use AI to understand voice commands and provide riders with information and assistance. These assistants could be used to control the two-wheeler's features, such as the music player or the navigation system, or to provide information about the rider's surroundings, such as the weather or traffic conditions.
  • Predictive maintenance: Predictive maintenance uses AI to analyse data from two-wheelers to predict when they are likely to need maintenance. This can help to prevent breakdowns and keep two-wheelers running smoothly.
  • Personalisation: AI can be used to personalise the riding experience for each individual rider. This could include things like adjusting the two-wheeler's settings to the rider's preferences or providing information and recommendations that are relevant to the rider's interests. Anti-theft systems will also be implemented with AI
  • Manufacturing: AI is being used to automate and optimise the manufacturing process for two-wheelers. This can help to reduce costs and improve efficiency.
  • Overall, AI is having a positive impact on the two-wheeler industry. It is helping to make two-wheelers safer, more connected, more personalised, and more reliable. As AI continues to develop, we can expect to see even more innovative and exciting AI-powered two-wheelers on the market in the coming years.

    Here are some specific examples of how AI is being used in the two-wheeler industry today:

    • Bajaj Auto: Bajaj Auto is using AI to develop a self-driving two-wheeler. The company has already developed a prototype of the vehicle, and it is currently testing it in a controlled environment.
    • Hero MotoCorp: Hero MotoCorp is using AI to develop ADAS for its two-wheelers. The company has already launched a few models with ADAS features, and it is planning to add more features in the future.
    • TVS Motor Company: TVS Motor Company is using AI to personalise the riding experience for its customers. The company has developed a mobile app that allows riders to customise their two-wheeler's settings, such as the power delivery and the braking.
    • Yamaha Motor India: Yamaha Motor India is using AI to improve the quality of its two-wheelers. The company has developed a system that uses AI to analyse data from its manufacturing process. This data is used to identify potential problems and make improvements to the process.

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