Multi-Sensor Camera SoC for Seamless Corner Surveillance
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Solution Overview
Problem
Current home security systems require multiple cameras to cover corner locations, leading to high costs, complex installations, and difficulties in seamless tracking of movement between camera views.
Innovation Solution
A camera system on chip (SoC) with multi-sensor capabilities, including two image sensors and two motion sensors, that can automatically switch between fields of view to provide seamless tracking and reduce power consumption, costs, and installation complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple independent cameras are used to cover corner locations, then the surveillance coverage area is improved, but the system cost and installation complexity increase
Solution Approach 1:
The patent combines multiple image sensors and motion sensors into a single camera system with one processor, merging the functions of multiple independent cameras. This integration maintains comprehensive surveillance coverage while reducing system complexity, elimination the need for multiple separate camera units and their individual mounting and configuration
Solution Approach 2:
The single camera system is designed with multi-sensor capabilities to perform multiple functions: capturing video from multiple fields of view, detecting motion in different directions, and processing data from all sensors centrally. This multi-functional design replaces what would traditionally require multiple specialized cameras
2Reliability
If multiple independent cameras are used to track movement between locations, then the tracking capability is improved, but the ease of operation deteriorates
Solution Approach 1:
The processor continuously receives feedback from multiple motion sensors detecting movement in different fields of view, and automatically adjusts which image sensor is active to maintain continuous tracking. This closed-loop system seamlessly follows moving targets across different areas without requiring manual intervention
Solution Approach 2:
The system proactively switches between image sensors based on predicted movement patterns detected by motion sensors, activating the appropriate sensor before the target fully enters its field of view. This preliminary action ensures continuous tracking without gaps or manual intervention
3Area of stationary object
If multiple cameras are deployed for corner surveillance, then the field of view coverage is improved, but the power consumption increases
Solution Approach 1:
Instead of continuously operating multiple image sensors, the system periodically activates only the specific sensor needed based on motion detection in different fields of view. The processor intelligently switches between sensors, keeping most in low-power states while maintaining comprehensive surveillance coverage
Solution Approach 2:
The system autonomously manages its own power consumption by having the processor automatically select which image sensor to activate based on real-time motion sensor input. This self-service approach ensures optimal power usage without external control, activating sensors only when and where needed
Data Source
AI summary
An apparatus includes a first lens and first image sensor, a second lens and second image sensor, a first motion sensor, a second motion sensor, and a processor. The first image sensor may be configured to capture a first video image stream of a first field of view (FOV). The second image sensor may be configured to capture a second video image stream of a second FOV. The first motion sensor may be configured to detect motion in the first FOV. The second motion sensor may be configured to detect motion in the second FOV. The processor is generally coupled to the first image sensor, the first motion sensor, the second image sensor, and the second motion sensor, and configured to generate a third video image stream in response to one or more of the first video image stream and the second video image stream.