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drivebuddyAI — Dual Camera Case Study

An Attempt towards making employee transportation safer using artificial intelligence based drivebuddyAI Dual Camera Device

Indian economy is moving towards shared mobility and electric mobility. Majority of IT MNCs are opting for advanced technologies not only for the business making but towards creating a better work culture and company environment.

Employee transportation is also one of the facilities big companies do have which allows employees to leave personal vehicle at home and use the shared vehicle and pick up and drop facility. There are companies in India who do provide such cars fleets to the MNCs which makes the operations easier for them. One such company is Lithium Urban and is one of the emerging company in this area with growing client base.

Major challenge for employee transportation is timely pickup and drop and safety. Timely pickup and drop is somehow solved with better and better mapping technologies and GPS based solutions which makes fleet manager, drivers and employees synch together for co-ordination. Safety is one such concern which is still an open problem and the most importantly, how do you define safety.

When we talk safety, we talk about drivers do their job properly and they have to be monitored and analyzed for their driving. Since the CCTV cameras becoming normal with vast usage on public roads, video streaming based MDVR(Mobile Digital Video Recording) systems have started gaining attraction which allows fleet managers to see live video of the moving vehicle. Addition to that, some systems do come with “sos” buttons in the vehicle for emergency services. These are all manual systems and needs constant monitoring.

We have introduced in-vehicle driving safety device, which continuously monitor how driver is driving and keeps generating alerts for the possible on road risks while driving. If the driver is on the possible risk for a crash in the front, the device will buzz, if the driver is fleeing sleepy, the device will buzz, if the driver is looking at the back or not focusing on the road, the device will buzz and help avoiding possible collisions which are result of momentous distractions. Indian government statistics tells that majority of accidents happening in India has increased since 2017 and the reason behind is driver’s mistake in 84% of the cases.

Here is the report of our first industrial implementation with Adobe who is the host of using the technology along with the fleet partner Lithium Urban. This report not only shows how we have implemented the system but also spreads some light on how human psychology is involved in solving the safety problem specifically in India. In India, only technology will not help neither only human management, it needs both the technology, the approach, the execution and here is our experience of how we did it.

Read more at http://drivebuddyai.com/wp-content/uploads/2019/11/Adobe-Case-Study.pdf

Share your feedback and reach out to us if you want to make your employee transportation fleets safer with our product.

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Building an AI nervous system, that learns human behavior to augment their decision-making capabilities for empowering the mobility ecosystem

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@nisargpandya

@nisargpandya

Entrepreneur, Startup Founder & CEO @drivebuddyAI. Learning from human drivers for the future drivers.

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