Bluetooth Proximity Detection via Radio Scanning
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Solution Overview
Problem
Conventional motion detection technologies are prone to vulnerabilities such as jamming, spoofing, and false alarms, and are limited in their ability to securely detect individuals in areas without line-of-sight and provide accurate headcounts.
Innovation Solution
A software-implemented wireless Bluetooth device proximity detection system that utilizes Bluetooth technology to detect and track devices in an area, providing a secure and accurate method for monitoring individuals and alerting users to new or changed device activity, using Bluetooth radio scanning and data storage to identify and log device presence and activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional motion sensor devices are used for detection, then motion detection capability is provided, but the system is vulnerable to jamming, spoofing, and false alarms
Solution Approach 1:
The patent replaces traditional mechanical motion sensors with Bluetooth radio wave-based detection. The system uses Bluetooth Low Energy (BLE) advertising packets and signal strength measurements instead of mechanical or electromagnetic motion sensing, thereby avoiding vulnerabilities to traditional motion detector jamming and spoofing techniques while maintaining detection capability.
2Measurement precision
If Bluetooth device scanning is performed continuously, then detection accuracy and real-time monitoring are improved, but energy consumption increases
Solution Approach 1:
The system implements periodic scanning intervals rather than continuous scanning. The Bluetooth scanner performs detection at defined time intervals, adjusting the scan frequency based on security requirements and battery status. This periodic approach maintains detection accuracy while significantly reducing energy consumption compared to continuous monitoring.
Solution Approach 2:
The scanning interval and detection sensitivity are dynamically adjusted based on contextual factors such as battery charge level, security zone importance, and historical detection patterns. When battery is low, scanning frequency decreases; when security risk is high, scanning becomes more frequent, optimizing the balance between detection precision and energy usage.
3Quantity of substance
If multiple devices are tracked simultaneously, then head count accuracy and area monitoring are improved, but system complexity increases
Solution Approach 1:
The system uses a unified Bluetooth scanner and central controller that handles multiple device tracking functions through a single integrated platform. The same hardware and software infrastructure performs advertising packet capture, signal strength measurement, device identification, head counting, and security zone monitoring, avoiding the need for separate specialized systems for each function and thereby reducing overall complexity.
Data Source
AI summary
A software-implemented wireless Bluetooth device proximity detection process and a wireless Bluetooth device proximity detection system are disclosed. The software-implemented wireless Bluetooth device proximity detection process and wireless Bluetooth device proximity detection system is able to be utilized by any system or mobile device that has Bluetooth technology to detect the presence of devices in an area. The software-implemented wireless Bluetooth device proximity detection process and wireless Bluetooth device proximity detection system is able to accurately determine how many individuals are in an area along with monitoring specific individuals. Unlike traditional motion sensor devices, the software-implemented wireless Bluetooth device proximity detection process and wireless Bluetooth device proximity detection system is less prone to jamming, spoofing, and outright failing to work.