Portable 360-Degree Camera Fire Detection System
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Solution Overview
Problem
Conventional video-based fire and smoke detection systems are often fixed, provide low resolution, have limited visibility, and are prone to false positives and false negatives, undermining their effectiveness in hazardous environments like construction or warehouses.
Innovation Solution
A portable 360-degree video-based fire and smoke detection system with a computing platform using a convolutional neural network to process equirectangular images from a 360-degree camera, generating alerts via local alarms, fire alarm panels, and mobile devices for accurate detection and notification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional video-based fire and smoke detection systems are fixed and mounted to walls, then installation is simple, but visibility is limited and detection accuracy is low
Solution Approach 1:
The system employs a 360-degree camera that can rotate and capture video from all directions, transforming the static fixed mounting into a dynamic multi-directional detection system. This allows the camera to scan the entire environment systematically, improving detection accuracy without requiring multiple fixed cameras throughout the space.
Solution Approach 2:
The invention transitions from conventional 2D video capture to 360-degree spherical video capture, adding a dimensional aspect to the detection system. This enables comprehensive coverage of the entire environment from a single fixed location, eliminating blind spots while maintaining simple installation.
2Reliability
If conventional detection systems use fixed cameras, then device simplicity is maintained, but false positives and false negatives increase
Solution Approach 1:
The system incorporates a computing platform that continuously analyzes video feeds from the 360-degree camera, providing intelligent feedback to distinguish actual fire/smoke events from false alarms. The platform processes visual data in real-time, enabling reliable detection while maintaining a relatively simple device structure through software-based intelligence.
Solution Approach 2:
The invention replaces complex mechanical detection systems with multiple fixed cameras with a single 360-degree camera combined with computational analysis. This substitution uses software-based image processing and pattern recognition to achieve high reliability without increasing physical device complexity.
3Adaptability or versatility
If portable detection systems are used, then placement flexibility is improved, but system stability decreases
Solution Approach 1:
The system is divided into separable components: the portable 360-degree camera unit and the computing platform. This segmentation allows the camera to be freely positioned for optimal coverage while the computing platform can be placed anywhere with adequate processing capability, achieving both flexibility and stability through modular architecture.
Data Source
AI summary
An aspect of the invention includes a fire and smoke detection system including a 360-degree camera, and a computing platform in communication with the 360-degree camera. The computing platform is configured to receive an image or video from the 360-degree camera, determine that tire or smoke is detected in the image or video received from the 360-degree camera, and venerate at least one alert in response to determining that fire or smoke is detected in the image or video received from the 360-degree camera. The fire and smoke detection system may be portable and not removably mounted.