Parking Camera Shades and Video Analytics for Energy Efficiency
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Solution Overview
Problem
Current systems for parking and traffic analysis using video data from cameras installed on light poles lack efficiency in data processing and transmission, leading to high energy consumption and unnecessary data transmission, especially due to sunlight exposure and unfiltered video content.
Innovation Solution
The implementation of a parking camera device with configurable cameras and shades to limit sunlight exposure, combined with video compression algorithms and selective data streaming, enables efficient video data processing and transmission, focusing on relevant areas of interest while reducing energy usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If video data from cameras is transmitted and processed without filtering, then complete surveillance coverage is maintained, but energy consumption increases and unnecessary data transmission occurs
Solution Approach 1:
The patent extracts and removes unnecessary data (sunlight exposure areas, irrelevant regions) from the complete video stream before transmission and processing. By identifying and excluding only the portions of video data that correspond to sunlight-exposed areas and non-relevant regions, the system reduces energy consumption and data transmission while preserving complete surveillance coverage of actual interest areas.
Solution Approach 2:
The patent applies different processing quality levels to different regions of the video data. Areas of interest receive full processing and transmission, while sunlight-exposed and irrelevant areas are filtered out. This local differentiation optimizes energy consumption by processing only the necessary portions of the surveillance data at full quality.
2Productivity
If all video data is processed and transmitted, then comprehensive analysis is achieved, but data transmission efficiency decreases
Solution Approach 1:
The system extracts and removes unnecessary data portions (sunlight-exposed regions, irrelevant areas) before transmission. This extraction significantly reduces the volume of data that needs to be transmitted and processed, thereby improving data processing efficiency and reducing transmission time while maintaining comprehensive analysis of relevant areas.
Solution Approach 2:
The patent performs preliminary filtering and processing of video data at the source before transmission. By pre-identifying and removing unnecessary data portions through preliminary analysis, the system reduces the overall data volume for transmission, improving both processing efficiency and transmission speed.
3Area of stationary object
If cameras capture all areas including sunlight-exposed regions, then complete field of view is achieved, but unnecessary data and energy are consumed
Solution Approach 1:
The patent extracts and removes data from sunlight-exposed regions and other irrelevant areas after capture. By identifying these areas and filtering them out before processing and transmission, the system maintains the original wide field of view coverage while eliminating unnecessary energy consumption associated with processing and transmitting data from these regions.
Solution Approach 2:
The system applies selective processing quality to different regions. Areas of interest receive full processing and transmission, while sunlight-exposed and irrelevant areas are filtered out. This local differentiation maintains comprehensive field of view coverage while optimizing energy consumption by processing only necessary regions at full quality.
Data Source
AI summary
In various example embodiments, a system and method for parking and traffic analysis are presented. A video processing system includes a pair of cameras coupled to a light pole and configurable to provide a FOV to capture video data of an area beneath the light pole or across a street from the light pole. The video processing system also includes a computing device for performing video data analytics on the video data. The results of the video data analytics may be transmitted, via the network, to at least one of a service platform or a user device.