Olfactory IoT Sensors for Non-Invasive User Tracking
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Solution Overview
Problem
Conventional user tracking and security systems rely on uncomfortable wearables, invasive camera technologies, and are ineffective in detecting concealed threats like weapons or narcotics, raising privacy concerns and operational limitations.
Innovation Solution
The development of smell sensor-based IoT devices that detect unique scents to identify individuals and objects, integrated with networks for collaborative tracking and threat detection, using specialized hardware and software to analyze airborne odors and transmit alerts for security screening.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera systems and facial recognition technology are used to identify users and track movements, then user tracking capability is improved, but privacy invasion increases and the system can be defeated by user disguises or camera blind-spots
Solution Approach 1:
The patent replaces optical-based camera systems with olfactory sensing technology. Instead of using cameras to capture visual images for facial recognition, the system uses smell sensors to detect volatile compounds emitted by individuals. This substitution eliminates the privacy invasion and blind-spot issues inherent in camera systems while maintaining user identification capability through chemical sensing.
Solution Approach 2:
The patent introduces volatile compounds as an intermediary medium between the user and the detection system. Rather than directly observing users with cameras, the system detects chemical signals that users emit. This intermediary approach allows for indirect identification that avoids direct visual surveillance, thereby reducing privacy invasion while maintaining tracking accuracy.
2Reliability
If camera systems are used for security screening, then threat detection capability is improved, but concealed items such as weapons under clothes or in bags remain undetectable
Solution Approach 1:
The patent replaces visual inspection methods with olfactory detection. Instead of relying on cameras to see concealed items, the system uses smell sensors to detect volatile compounds that may emanate from weapons, explosives, or narcotics hidden under clothes or in bags. This chemical sensing approach penetrates physical barriers that block visual detection.
Solution Approach 2:
The patent changes the detection parameter from optical (visual) to chemical (olfactory). By detecting volatile compounds rather than visual patterns, the system can identify concealed items that are invisible to cameras. This parameter change enables detection through materials and structures that are opaque to visual sensing.
3Extent of automation
If wearable devices are used for user tracking, then tracking functionality is provided, but user comfort decreases due to discomfort, skin irritation, and charging requirements
Solution Approach 1:
The patent uses volatile compounds as an intermediary to enable tracking without direct contact with wearable devices. Instead of requiring users to wear sensors on their bodies, the system detects chemical signals that users naturally emit. This eliminates skin irritation, discomfort, and charging requirements associated with wearable devices while maintaining continuous tracking capability.
Solution Approach 2:
The patent replaces mechanical wearable sensors with olfactory detection systems. Instead of using physical sensors that must be worn on the user's body, the system uses smell sensors to detect volatile compounds. This substitution eliminates the need for wearable hardware, thereby improving user comfort while maintaining tracking functionality.
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
Enables non-invasive, effective identification and tracking of individuals and detection of concealed threats, enhancing security and privacy while improving user comfort and reducing reliance on invasive technologies.
Implementation Method 1
detect airborne odors and scents, and then analyze the smell data to identify particular individuals, objects, or substances
Data Source
AI summary
Various techniques are described herein for using smell sensor-based Internet-of-Things (IoT) devices to detect and identify individual users based a unique scent or smell print. Interconnected networks of such devices may be used in collaboration, along with other devices such as IoT devices and home monitoring system devices, to track user movements and activities. Such smell sensor device also may be used to detect weapons, explosives, narcotics, and other prohibited items that may be concealed and/or not detectable using security cameras. The data received from the smell sensors and smell-based IoT devices may be used, alone or in combination with other security sensors and systems, to perform safety and security screening within homes, airports or other secure areas, or within any public indoor or outdoor location.