Automotive
Automotive
The advancement of automotive technology and the continuous increase in usage of electronics components in vehicles have resulted in vast amounts of data inside vehicles. Edge computing helps restrict the amount of data bootlegged out intelligently, which decreases the data transmission costs and the volume of raw and sensitive data leaving the vehicle. Edge computing can also help Automotive OEMs, and aftermarket solution providers analyze these
data on a real-time basis and provide valuable solutions to customers like
- Increase safety of the drivers and passengers
- Enhancing user experiences in the vehicles
- Prevention of theft and unauthorized access of the vehicles
- Providing better preventive maintenance for the vehicles
Driver Monitoring System
AI-enabled vision systems can continuously monitor drivers’ behavior inside vehicles and create alerts if any unsafe behavior is detected. AI can help see drowsiness/ fatigue (yanking, constant blinking) in drivers, the distraction of the driver during driving, doing unwanted activities like talking/ texting on mobile phones, eating/ drinking during driving, etc.
The solution can automatically generate real-time alerts to the driver as well as activate a semi-autonomous vehicle handoff.
Advanced Driving Assistance System
AI can help the driver have hassle-free and safe driving by analyzing the presence and speed of surrounding vehicles, detecting pedestrians and other objects in the vehicle path, giving information on the blind spot, detecting risky lane deviation, providing parking assistance, alerting for possible collision incidents, etc.
Prevention of Theft and Unauthorized Vehicle Access
Advanced technologies like face recognition, fingerprint detection, etc., can eliminate unauthorized access to vehicles. These prevent theft of vehicles and provide greater flexibility to new business applications like car sharing. This can also help insurance companies ensure higher compliance to policy terms and the reduction of fraudulent claims.
Accurate Predictions
The need for real-time response regarding the location and speed of surrounding vehicles, pedestrians, and other objects has necessitated the usage of Edge AI in autonomous vehicles. Edge AI can also analyze a vehicle’s sensor information in real-time and take necessary actions in case of any unwanted issues.
