Multi-camera Occupancy Detection for High-Occupancy Vehicle Lanes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for detecting the number of in-vehicle persons in high occupancy vehicle lanes are inefficient and inaccurate, particularly when vehicles have tinted windows, leading to difficulties in enforcing regulations and potentially causing traffic congestion or accidents.
Innovation Solution
A service system utilizing two cameras positioned diagonally and orthogonally to the vehicle's travel direction to continuously photograph and analyze images, allowing for accurate detection of in-vehicle persons by recognizing seat regions and counting individuals without double-counting, thereby determining if a vehicle violates occupancy laws.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single camera is used to photograph vehicles in exclusive bus lanes, then the system structure is simple, but the accuracy of detecting in-vehicle persons is insufficient due to tinted windows and viewing angle limitations
Solution Approach 1:
The patent combines multiple cameras (front camera, rear camera, and side cameras) into an integrated surveillance system. The control device merges image data from all cameras to comprehensively analyze vehicle occupancy, overcoming the limitations of single-camera systems while maintaining systematic management of the complex multi-camera setup.
Solution Approach 2:
The patent transitions from single-viewpoint camera imaging to multi-dimensional imaging by positioning cameras at different locations (front, rear, sides) and angles. This dimensional expansion allows the system to capture images of vehicle interiors from multiple perspectives, enabling accurate detection of in-vehicle persons even through tinted windows.
2Measurement precision
If policemen visually check vehicles in person to regulate exclusive bus lane usage, then direct observation is possible, but traffic congestion and safety risks increase due to stopping moving vehicles
Solution Approach 1:
The patent replaces the mechanical approach of policemen physically stopping and checking vehicles with an automated optical detection system. Cameras continuously capture images of vehicles in motion, and the control device automatically analyzes these images to determine compliance with occupancy requirements, eliminating the need to stop vehicles and thus avoiding traffic congestion and safety hazards.
Solution Approach 2:
The system enables vehicles to be automatically regulated without human intervention during the inspection process. The cameras and control device perform the entire detection and determination process autonomously, allowing vehicles to continue moving freely while compliance is verified through automated image analysis.
3Productivity
If existing systems only check vehicle types through license plate recognition, then implementation is simple, but the ability to detect whether vehicles meet occupancy requirements is lost
Solution Approach 1:
The patent creates a multi-functional system that performs both vehicle identification (through license plate recognition) and occupancy detection (through image analysis of vehicle interiors). The control device integrates multiple functions: identifying vehicle types, counting in-vehicle persons, determining compliance with occupancy requirements, and generating violation records, thereby significantly improving regulation efficiency while maintaining accurate detection capabilities.
Data Source
AI summary
The present disclosure relates to a service system and method for detecting the number of in-vehicle persons of a vehicle in a high occupancy vehicle lane. In more detail, the present disclosure relates to a service system and method for detecting the number of in-vehicle persons of a vehicle in a high occupancy vehicle lane, the service system and method detecting a vehicle violating the law about use of a high occupancy vehicle lane by calculating the number of in-vehicle persons of a vehicle using a high occupancy vehicle lane by tracking the number of in-vehicle persons on the basis of images of the vehicle taken by a camera disposed diagonally to the traveling direction of the vehicle and a camera disposed orthogonally to the traveling direction of the vehicle.