Know Who’s Driving – AI Facial Recognition with drivebuddyAI

drivebuddyAI is an intelligent driver and fleet safety platform, ADAS and fleet management system that aids drivers in avoiding collisions, aids fleet owners in assessing driver behaviour and provides insightful information that helps improve fleet safety.

ADAS operate using a diverse variety of vehicle tracking device technologies – cameras to radars and lidar systems – which can function both independently and in cooperation with other detection systems that contribute to the improvement in driving behaviour by helping notify about possible hazards on the road. This is achieved by either alerting the driver with a collision warning system or by actively taking over an element of vehicle control such as the brakes or steering wheel if the driver hasn’t reacted immediately. ADAS technologies have a crucial role to play in reducing the number of on-road vehicle accidents. As the technology has progressed, so has the safety of fleet vehicles with ADAS installed.

drivebuddyAI is one of the pioneering ADAS (Advanced Driver Assistance Systems) in India with the highest number of kilometres driven in the nation. With such a huge number of experience kilometres, drivebuddyAI’s system has been calibrated, augmented and programmed extensively to ensure optimum levels of safety and reliability.

drivebuddyAI products make use of intelligent driver & fleet safety platforms for the automotive, fleet, logistics and insurance sectors globally. drivebuddyAI’s facial recognition technology can be utilised to confirm that your fleet vehicles are being driven by the designated fleet drivers and that they are recording their activities honestly.

Why driver face recognition is necessary

Face recognition technology is making its way into the latest generation of vehicles in an endeavour to increase safety and convenience. From vehicle ignition to the prevention of theft – there are innumerable applications of facial recognition technology in vehicles.

The important applications of facial recognition systems in vehicles are:

ELD – Electronic Logging of drivers
Identifying driver at run time
Prevention of Accident in case of criticality
Driver-wise monitoring
Driver Analysis & Behaviour Analytics
Driver coaching on specific events
Post-coaching behaviour improvements

Managing a fleet of drivers can be strenuous and stressful work – you need to be aware of your drivers’ location at all times, know how long they’ve been driving and ensure that they’re safe on the roads.

This is where facial recognition showcases its strengths – not only do you have the ability to monitor where the driver’s attention is, but you can also make use of driver fatigue detection features to ensure vehicle safety. This driver drowsiness detection system can be utilized to make sure that a particular driver is awake, active and paying attention to the road. It also helps to identify and ratify who is driving just by the driver entering the vehicle – dispensing the need for check sheets or paperwork!

When a facial recognition system is deeply embedded with other vehicle safety systems, it can lead to even better accident prevention features.

How does drivebuddyAI do facial recognition?

The device captures the video from both the sides and syncs it continuously to the cloud
drivebuddyAI has a mobile application called “OLI – Online Local Installer”, which is used at the time of commissioning of the product at customer’s vehicle and at the same time, the app takes the driver’s face video sample for further recognition purposes
The video is then inferred by AI on the cloud to recognize the face with already registered samples at the time of first time installation
And then it is mapped on a trip basis for further analysis

The dual cameras register every millisecond level situation in driving and come with night vision features and augmented image capture capabilities which can operate in almost all lighting conditions. The device comes with an inbuilt GPU & CPU for the processing of the video feeds coming from the dual cameras. The processing happens on the cloud & device both and has been proven to be more than 95% accurate. The platform can support any number of drivers in the system.

Autonomy can be considered to be the future of mobility, telematics the present, and ADAS as the step towards the future.

Benefits of drivebuddyAI’s platform

Safety at all Times

drivebuddyAI helps in identifying and addressing risky driving behaviour and helps prevent on-road incidents. The savings from increased Fleet Safety will reduce losses and increase your margins.

Productivity Increase

drivebuddyAI makes it easier to understand driving patterns and driver behaviour which helps fleet managers identify both mistakes and good driving and coach drivers for better performance, thereby enhancing fleet safety and productivity.

Driver Discipline and Skill Enhancement

drivebuddyAI’s Contextual Behaviour Alerts provide in-cabin, contextual real-time alerts – cautioning drivers prior to possible accidents – thereby helping maintain driver discipline to ensure the safety of their passengers, crews and assets.

drivebuddyAI helps in identifying the safest & riskiest drivers at a fleet company which allows fleet managers and owners to make important decisions on operational efficiency to improve business!

Visit drivebuddyai.co to book a demo!

October 3, 2022

Driving Behavior · Driving Safety · Entrepreneur · Launch · Mobility

Introducing drivebuddyAI

I’m feeling very excited to introduce drivebuddyAI, our startup based in Pune, India focused on autonomous vehicle technologies and connected vehicles.

It’s the time when the world is talking about autonomous vehicles, artificial intelligence when transportation industry is under revolutionary changes. Thanks to Waymo(Google), Tesla Autopilot, Intel — Mobileye, Cruise, Comma.ai ,etc, lots of awareness is already spread around the world for autonomous vehicles and these companies are ready with their fully autonomous vehicles. There are lots of startups and companies like OTTO a.k.a Uber ATG and others are working on autonomous trucks. A large chunk of startups and large organizations are also working on connected vehicles for fleets. Fleets are larger part of the transportation sector with huge market potential and lots of opportunities.

What numbers are saying…

At drivebuddyAI, we work to make autonomous vehicles reality for Indian roads and traffic conditions. Indian roads are one of the most difficult for AVs because of lots of reasons. Some of them are bad traffic sense, heavy traffic, lack of infrastructure to make it work. Though very soon Indian roads will also experience AVs roaming around in some of the cities on a very specific routes thanks to the ecosystem of startups and organizations working on autonomous vehicles.

Before India becomes ready for AVs, Indian roads are still unsafe and one of the most dangerous roads in the world. According to the statistics by Dept. of Transport, GOI the numbers of road fatalities are very high. Almost 4,80,652 accidents happened on Indian roads in 2015, out of these 1,50,785 people lost their lives in 2015. This counts to 1317 accidents everyday and 55 accidents every hour results in 413 lives everyday and 17 lives every hour lost in accidents.

Interesting to know that from 2015 to 2016, the numbers of accidents were reduced to 4–5% but number of fatalities were increased by 3%. Major reasons for accidents are overtaking & alcohol, speeding and distracted driving. Indian government has set to reduce number of accidents to 50% by 2020.

What do we do with these?

At drivebuddyAI, we work on the technology to build autonomous vehicles which can work seamlessly on Indian roads. But we feel that before India becomes ready to experience autonomous vehicles, let’s make Indian roads more safer and smarter with the technology which has already matured for autonomous vehicles.

Autonomous vehicles work on three major activities, and they are where I am? What I can see? Where do I move? And these three are called as localization, perception and control. But let’s suppose if we replace the third part which is controlling the car with machine learning and analytics, the technology can still find a use cases in lots of areas like fleets and insurance and many more. There are areas in fleets and insurance sectors still with gaps.

At drivebuddyAI, we work to fill these gaps in the fleet management and insurance. Fleets and insurance sectors are tightly coupled and there is huge finances involved from owning a numbers of vehicles, paying huge premiums. For insurance companies the biggest concern is to pay for the claims in case of crashes and third party claims. There are huge numbers of fraud cases also comes and because of lack of evidences insurers become liable to pay for the claim amount and results in huge losses. For the fleets, they spend lots of money from driver training to driving safety to driver’s evaluation and incentives. And so it is very important for them to have some solution which allows to reduce their losses.

The solution we’ve built…

drivebuddyAI, a product having a hardware device and a cloud based platform. Autonomous vehicles need cameras, LIDARs & RADARs to create perception, highly precise GNSS antennas with numerous sensors provides information about precise location of the vehicle i.e. localization and the control unit. drivebuddyAI hardware follows the same with cameras to create perception, smart GNSS antennas along with IMUs for precise localization and instead of control mechanism, the hardware sends all the information to the cloud. The device runs neural network for objects detection, it also measures the vehicle position according to the lane markers. As the device detects objects and measures the position with lane markers, it also measure the distance from the vehicle in front and generates alerts in case of vehicle reaches close to the vehicle in front. This feature is built with the perspective of providing safety in real time and which helps in case like bad weather, lack of clear vision ahead ,etc. The inner camera looks for the driver’ eyes and driver’s facial expression of the driver. drivebuddyAI hardware extracts all the minute information from the image it captures and sends all the data for analytics over the cloud. One of the most important feature of the device is that it can be fit into any vehicle as a retrofit device and it just needs power supply from the vehicle.

drivebuddyAI cloud platform, serves as a dashboard along with analytics platform for the vehicle. When vehicle is in movement, one can see its location and associated data like how many times vehicle has changed lanes to the right or left, how many time a device has generated forward collision warnings, what is the speed of the vehicle, what is the distance traveled and lot many data points. These all data is analyzed with our data analytics algorithms which checks for driving pattern and driving behavior of the driver according to the data received on daily basis and generates a score for a driver. Along with this the platform generates a detailed report on monthly/weekly & yearly basis. This reports are very important for fleets to check for driver’s conduct and driver behavior when they are deciding the incentives for the drivers.

drivebuddyAI works as a black box for the vehicles, which records each and every frame of the scene visible from the vehicle along with video data, which can be queried for playback if fleet owner or insurers wants to check for the video footage of a particular vehicle for particular time duration. drivebuddyAI cloud platform is one such deep learning based video and data analytics platform provides insights into driver’s driving pattern and let users as well as fleet owners/mangers to make decisions.

What we offer?

At drivebuddyAI, we are working towards to create an ecosystem of drivers, insurers and fleet managers/owners on the cloud and video analytics platform which defines safe driving as a primary concern and saving a huge costs on operating fleets as well as in case of claims where it works as a black box for the vehicle. It also provides lots of leaning opportunities for the drivers to learn from their as well as others mistake by revisiting their own driving.

What’s in the future?

As drivebuddyAI is working to make autonomous vehicles reality for Indian roads, we believe in learning from mistakes and what’s better than learning from the people who are driving millions of miles for the fleets. drivebuddyAI platform learns the good driving and bad driving behavior directly from the driver and this learning can then be used to make autonomous vehicles to make decisions on Indian roads by the learnings from the Indian roads.

Journey so far….

drivebuddyAI has already started the march to make Indian roads safer and smarter by providing smart and connected vehicle experience to the drivers, fleets & insurers. We have launched our beta program of the product and started with testing with some of the fleet owners for catching their interest to one of India’s earliest autonomous vehicle technology based product.

So what are you waiting for?….

Please reach out to us in case of any queries related to our product, and do let us know if you wanna be a part of drivebuddyAI beta eary adopters program. Get on-board with drivebuddyAI and see how technology can make wonders in transportation domain.

If you really like the concept we are working on, subscribe to our channel and stay tuned for more updates.

Thank you so much….!!!!

Visit — www.drivebuddyai.co

Reach out to us on connect@drivebuddyai.com

April 3, 2019

AI