Object Sensor Network for Theft Detection
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Solution Overview
Problem
Existing methods for protecting shipments and groups of objects from theft or separation are inadequate, particularly when objects are unattended, as they rely on RFID harnesses or smart shelves that may not detect anomalies effectively, lacking detailed information on the exact time and location of separation.
Innovation Solution
Implementing wireless sensors attached to each object that monitor their local environment and communicate with other sensors in the group to detect anomalies, alerting others when changes occur, and storing history data to determine the specifics of any separation or theft, including using accelerometers to infer characteristics of the thief.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RFID harness or smart shelf is used to monitor objects, then theft detection capability is provided, but detailed information on separation time and location is not obtained
Solution Approach 1:
The system divides the monitoring function into individual sensor units attached to each object. Each sensor independently monitors its local environment and tracks its own position and activity, enabling detailed recording of separation events including time and location without requiring a centralized monitoring system.
Solution Approach 2:
The sensor acts as an intermediary between the object and the monitoring system. It locally processes environmental data and generates notifications about separation events, providing detailed information without requiring continuous communication with a central system.
2Measurement precision
If sensors continuously monitor environment of each object, then separation detection accuracy is improved, but energy consumption increases
Solution Approach 1:
The sensor operates in periodic cycles, alternating between active monitoring mode and low-power sleep mode. During active periods, it continuously monitors environmental parameters; during sleep periods, it conserves energy while maintaining the ability to wake and notify when separation is detected.
Solution Approach 2:
The sensor autonomously determines when to activate monitoring based on local environmental changes. It self-manages its power consumption by remaining in low-power state until separation indicators are detected, then activates to provide detailed separation information.
3Reliability
If sensors are attached to each object in the group, then separation detection capability is enhanced, but device complexity increases
Solution Approach 1:
The system extracts the monitoring function from a centralized system and places it directly on each object via attached sensors. Each sensor is a simple, self-contained unit that independently monitors its local environment, eliminating the need for complex centralized coordination while improving separation detection capability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively detects and alerts on separation or theft, providing detailed information on the time, location, and circumstances of the event, enhancing the chances of recovery and reducing false alarms through coordinated sensor communication and energy conservation modes.
Implementation Method 1
accelerometers to infer characteristics of the thief
Data Source
AI summary
A method for monitoring a plurality of objects, involving configuring a sensor for a first object of the plurality of objects, wherein the sensor monitors an environment of the first object, attaching the sensor to the first object, associating each of the plurality of objects together using a pre-defined stimulus to obtain an associated set of objects, and communicating a notification message when a change in activity of the environment of the first object is detected by the sensor.