Driver Authentication Surveillance for Accurate Violation Attribution
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Solution Overview
Problem
Conventional vehicle violation detection systems fail to differentiate between drivers, leading to violations being attributed to the wrong individual, often the vehicle owner rather than the actual driver, due to limited data collection methods.
Innovation Solution
A surveillance system that captures driver license information upon vehicle start and monitors continuous data from sensors to detect violations based on predefined guidelines, transmitting relevant information to external entities for appropriate action against the driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional OBD systems collect vehicle data for violation detection, then violation detection capability is provided, but the ability to accurately identify the specific driver responsible for violations deteriorates
Solution Approach 1:
The system segments the violation detection process by creating separate data collection streams: one for vehicle operational data (speed, location, acceleration) and another for driver identification data (license plate, biometric information). This segmentation allows the system to maintain vehicle monitoring while simultaneously capturing driver-specific information, thereby resolving the contradiction between detecting violations and identifying the responsible driver.
Solution Approach 2:
The system introduces an intermediary component (capturing unit with processor) that bridges vehicle data and driver information. This intermediary captures and correlates license plate numbers, biometric data, and vehicle operational data, creating a unified record that links violations to specific drivers. The intermediary resolves the information loss by systematically collecting and associating driver identification with vehicle data throughout the monitoring process.
2Reliability
If continuous monitoring of vehicle data is implemented, then violation detection coverage is improved, but the complexity of the system increases
Solution Approach 1:
The capturing unit is designed as a multi-functional device that simultaneously performs vehicle data collection, driver identification, data correlation, and violation detection. By consolidating these functions into a single universal system rather than separate components, the patent reduces overall system complexity while maintaining comprehensive violation detection coverage.
Solution Approach 2:
The system employs automatic capture and correlation mechanisms that operate without manual intervention. The capturing unit automatically detects driver presence, captures license information, correlates it with vehicle data, and identifies violations autonomously. This self-service approach reduces operational complexity and enables continuous monitoring without proportionally increasing system burden.
3Measurement precision
If driver-specific data collection is implemented, then accurate driver identification is achieved, but the quantity of data to be processed increases
Solution Approach 1:
The system extracts only the essential driver identification elements (license plate number, key biometric features) rather than collecting and processing all possible driver data. This selective extraction maintains high driver identification precision while minimizing the volume of data that requires storage and processing, thereby resolving the contradiction between identification accuracy and data quantity.
Data Source
AI summary
The present disclosure relates to surveillance system and method for detecting violation by driver in vehicle. The surveillance system comprises capturing unit for capturing license information of driver of the vehicle, upon start of the vehicle. Further, the surveillance system comprises processor configured to receive the license information of the driver from the capturing unit. Further, the processor is configured to receive continuous data related to the vehicle from one or more sensors in the vehicle. Furthermore, the processor is configured to detect occurrence of violation, of one or more pre-defined driving guidelines, based on monitoring the data related to the vehicle and the license information. Information related to the violation and the license information of the driver is transmitted to one or more external entities for taking actions against driver of the vehicle.