Smart Network Camera SoC for Integrated Security
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Solution Overview
Problem
Conventional CCTV systems are not easily upgradable and lack integration with other security functionalities, limiting the evolution and effectiveness of integrated security management systems, which require compatibility with access control, crowd control, and tracking systems, necessitating a solution for flexible and cost-effective network video camera solutions that simplify video information processing and storage.
Innovation Solution
A smart network camera system-on-a-chip (SoC) that integrates reconfigurable hardware and software components, including image processing, content analysis, and communication interfaces, enabling real-time object detection, metadata generation, and efficient data transmission over networks, allowing for enhanced integration and deployment of security cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional CCTV systems are used, then basic video surveillance function is provided, but upgradability and integration with other security functionalities are limited
Solution Approach 1:
The patent merges image processing, content analysis, compression, and communication interfaces into a single system-on-a-chip (SoC) architecture. This integration allows the camera to perform multiple security functions including video surveillance, object detection, metadata generation, and network communication within one unified device, thereby improving adaptability while managing complexity through modular design.
Solution Approach 2:
The smart network camera SoC is designed with multi-functional capabilities that enable it to perform not only basic video capture but also image processing, content analysis, compression, and various communication protocols. This universal design allows the same hardware platform to support multiple security applications and future upgrades without requiring complete system replacements.
2Adaptability or versatility
If stand-alone CCTV systems are used, then video surveillance is provided, but compatibility with access control, crowd control, and tracking systems is lacking
Solution Approach 1:
The camera incorporates multiple communication interfaces and protocols within the SoC architecture, enabling compatibility with diverse security systems including access control, crowd control, and tracking systems. The reconfigurable hardware and software components allow the device to adapt to different network configurations and integrate with existing security infrastructure through standard communication protocols.
Solution Approach 2:
The system generates metadata about detected objects and scene information that can be fed back to central security management systems. This feedback mechanism enables seamless integration with access control, crowd control, and tracking systems by providing real-time information about detected events, objects, and their locations, facilitating automated responses and coordinated security operations.
3Productivity
If integrated security management systems are implemented, then coordination of security functions is improved, but hardware and software investment requirements increase
Solution Approach 1:
By merging image processing, content analysis, compression, and communication functions into a single SoC, the patent eliminates the need for separate processing units and reduces hardware infrastructure requirements. This integration enables efficient video information processing and storage while lowering the overall hardware investment compared to traditional distributed architectures that require multiple dedicated devices for each function.
Solution Approach 2:
The camera's SoC architecture performs self-contained image processing and content analysis locally, reducing the burden on central processing systems. The device autonomously generates metadata, detects objects, and manages its own communication protocols, thereby reducing the need for extensive external hardware and software support infrastructure while maintaining high processing efficiency.
4Extent of automation
If advanced security applications are deployed, then security functionality is enhanced, but operator analysis and human resources are required
Solution Approach 1:
The camera performs preliminary content analysis and object detection locally within the SoC before data is transmitted to central systems. By pre-processing images and videos to identify objects, scenes, and potential security events, the system reduces the amount of raw data requiring human operator analysis, thereby increasing automation levels and reducing time loss while maintaining enhanced security functionality.
Solution Approach 2:
The system introduces metadata generation as an intermediary layer between raw video data and human operator analysis. The SoC extracts and transmits only relevant metadata about detected objects and events to central systems, which then present this processed information to operators. This intermediary processing automates the initial analysis phase and reduces the time operators need to spend reviewing raw footage while maintaining comprehensive security monitoring.
Data Source
AI summary
Aspects of a method and system for processing video data are disclosed and may include detecting, within a single chip in a programmable surveillance video camera, one or more moving objects in a raw video signal generated by the programmable surveillance video camera. One or more characteristics of the detected one or more objects may be extracted within the single chip in the programmable surveillance video camera. The extraction may be based on the raw video signal and may be performed prior to compression of the raw video data. The characteristics of the detected one or more objects may include shape, texture, color, motion presence, motion direction, sequence name, location, links, and/or alarm type. One or more textual representations of at least one of the characteristics of the detected one or more objects may be generated within the single chip in the programmable surveillance video camera.