Outdoor Camera Deterrence Using Autonomous Person Detection
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Solution Overview
Problem
Conventional security and automation systems require unnecessary intervention from personnel and are inefficient in monitoring and responding to events, leading to potential security breaches and property damage.
Innovation Solution
A smart sensing system that uses a control panel to monitor and predict changes in conditions within a smart environment, applying machine learning techniques to autonomously perform functions such as resource management and deterrence actions based on sensor data, including video, image, and audio inputs to prevent potential security threats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional security systems use traditional monitoring techniques, then they can detect events, but they require unnecessary personnel intervention and are inefficient
Solution Approach 1:
The system performs self-monitoring and self-response operations through automated control panels that detect events and execute predetermined actions without requiring human intervention. The control panel autonomously manages security responses, eliminating the need for constant personnel oversight while maintaining effective security monitoring.
2Reliability
If the system performs comprehensive monitoring and prediction, then security reliability improves, but power consumption and CPU usage increase
Solution Approach 1:
The control panel implements periodic scanning and monitoring of security devices rather than continuous operation. The system alternates between active monitoring phases and lower-power states, performing comprehensive checks at scheduled intervals while maintaining security effectiveness. This periodic operation reduces overall power consumption and CPU usage while preserving security reliability.
3Measurement precision
If the system uses multiple sensors and AI analysis, then measurement precision improves, but device complexity increases
Solution Approach 1:
The system divides security monitoring into separate functional modules, with different sensors (motion detectors, cameras, audio sensors) handling specific detection tasks. Each sensor type is optimized for its particular function, and the control panel integrates their outputs. This modular segmentation improves measurement precision for each detection type while managing overall system complexity through organized functional separation.
Data Source
AI summary
Apparatuses, systems, devices, and computer program products for deterrence techniques are described. A method may include processing data from an outdoor camera. A method may include detecting a person based at least in part on processed data from an outdoor camera. A method may include emitting a sound from an outdoor camera to deter a person in response to detecting the person.