Evaluation of AI-Powered Driver Activity Monitoring to prevent Accidents in Indian Roads
Every single day there are hundreds of Road Accidents happening in India. The Goal of the project is to use AI to Prevent Accidents and Save Precious Lives.
We have built and Evaluated a Driver Activity Monitoring system proof of concept which is based on camera to monitor driver alertness that not only recognizes the driver but also checks his or her level of alertness while driving the vehicle.
The purpose of the Driver Monitoring System is to alert the driver when signs of drowsiness or distraction are detected. Other applications for the system are also possible, such as driver identification and control functions using the eyes. These developments will contribute to heightened safety and more intuitive use of the new generation of driver assistance functions.
Table of Contents
- The Problem
- Analysis of the Problem
- Accidents in India ( Facts )
- Solution
- Evaluating the Solution
- Genuine challenges in the implementation of Driver Activity Monitoring
- Conclusion
- Contact Us
The Problem
Road Accident Death ( India recorded the highest number of road accident deaths across the globe)
Analysis of the Problem
- Distracted & Drowsiness while Driving ( We will focus on this Problem)
- Drunk Driving
- Speeding/ Reckless Driving
- Not Wearing Seatetop Belt
- Rain or Wet Roads
- Potholes and Bad Road Condition
- Breaking Traffic Rules
- Tailgating
Accidents in India ( Facts and Figures)
- A total of 449,002 accidents occurred in India in 2019
- 151,113 people were killed and 451,361 were injured due to road accidents last year
- National Highways accounted for an inordinate share of deaths yet again
Solution
Use Advanced facial analysis algorithms and deep learning models ( Facial Landmark Models) To Detect Distracted Driving Behaviour. Perform real-time analysis of driver’s eyes, mouth, head, and body movements and identify the possibility of Drowsiness ( Eye closing and Yawning)
Evaluating the Solution
We have Tested in Bus, Truck, Car, and Auto. As Proof of Concept, we have recorded the Driver Driving the vehicle Camera Footage ( Day and Night Vision) and Analysed it Offline. We will Take this demonstration to Top Auto Manufacturers ( Car, Bus, Truck, and Auto rickshaw manufacturers) in India and explore the possibilities of Real-world Implementation
Test — 1: Driver Activity Monitoring in Bus
Test — 2: Driver Activity Monitoring in Bus
Test — 3: Driver Activity Monitoring in Bus
Test — 4: Driver Activity Monitoring in Car
Test — 5: Driver Activity Monitoring in Truck
Test — 6: Driver Activity Monitoring in Auto Rickshaw
Genuine Challenges in Implementation of Driver Activity Monitoring
- Driver Support ( Driver should not feel Intrusive)
- Privacy of the Driver has to be protected
- Who Owns this Data and how it is being used?
- Whether these data can be used by Insurance Companies?
Conclusion
A majority of fatal accidents have been attributed to mistakes made by drivers. This can include distraction or an unsuitable state of mind and body (drowsiness, fatigue, intoxication, road rage, etc.).
As technologies are available to determine the driver’s Activity while driving, Auto Manufacturers and regulators can embrace Driver Activity Monitoring so as to improve public safety.
In this Proof of concept, we have showcased the capability, further works are needed to improve the accuracy of the driver alertness prediction algorithm.
Contact Us
ETOP TECHNOLOGIES is a Software Development company.
- We do AI Consulting for Digital Transformation.
- We build software solutions using emerging technologies for start-ups and enterprises.
- We can Develop AI applications with Computer vision, Deep Learning, and Natural Language processing.
We convert your AI Vision into a reality. Our Services are categorized into
- AI Data Preparation/ Data Annotation Services
- AI Software Development Services
- AI IOT Development Services
Visit www.etopdigital.com for more information.
