Sensor Hub Tracking Profiles for Triggered Object Identification
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Solution Overview
Problem
Tracking activities of objects, such as people or vehicles, are time-consuming and difficult due to information being gathered in different manners by different devices at different locations, leading to inefficient use of memory and processing power, and challenges in identifying unidentified objects in locations lacking cameras or with privacy concerns.
Innovation Solution
A system of sensor hubs generates a tracking profile for unidentified objects based on detected trigger events, allowing sensor hubs with more robust capabilities to gather additional information and update the profile, enabling efficient and accurate tracking by storing only relevant data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If information related to objects is gathered by different devices at different locations, then tracking coverage is improved, but tracking efficiency and processing time worsen
Solution Approach 1:
The patent combines information from multiple sensor hubs into a unified tracking profile. The sensor hub that detects a trigger event generates a tracking profile that is then shared with and updated by other sensor hubs, merging their respective data contributions into a single coherent tracking record rather than maintaining separate information streams.
Solution Approach 2:
The tracking profile acts as an intermediary data structure that mediates between multiple sensor hubs. Instead of sensor hubs directly communicating with each other, they all interact through the shared tracking profile, which consolidates their observations and enables efficient information exchange without direct peer-to-peer communication overhead.
2Measurement precision
If all objects are tracked continuously, then tracking accuracy is improved, but memory and processing power consumption worsen
Solution Approach 1:
The system extracts only relevant information into the tracking profile when a trigger event occurs, rather than continuously tracking all objects. The tracking profile selectively stores data such as voice signatures, visual characteristics, and location information only when triggered by suspicious events, eliminating the need to process and store continuous streams from all sensors for all objects.
Solution Approach 2:
Instead of continuous full-scale tracking of all objects, the system applies partial action by activating detailed tracking only when trigger events occur. The sensor hubs perform selective monitoring based on trigger conditions, gathering comprehensive information only when needed rather than maintaining constant high-level tracking of everything in the monitored environment.
3Measurement precision
If sensor hubs with robust capabilities are deployed, then identification accuracy is improved, but device complexity and cost worsen
Solution Approach 1:
The tracking profile serves as a universal data structure that can accommodate information from sensor hubs with varying capabilities. Whether a sensor hub has audio sensors, visual sensors, or both, the tracking profile uniformly integrates their contributions through standardized fields, allowing simple and complex sensor hubs to cooperate without requiring all hubs to have identical robust capabilities.
Data Source
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AI summary
Using sensor hubs (105) for tracking an object. One system (100) includes a first sensor hub (105) and a second sensor hub (105). The first sensor hub (105) includes a first audio sensor (325) and a first electronic processor (305). In response to determining that one or more words captured by the first audio sensor (325) is included in the list of trigger words, the first electronic processor (305) generates a first voice signature of a voice of an unidentified person, generates a tracking profile, and transmits the tracking profile to the second sensor hub (105). The second sensor hub (105) receives the tracking profile and includes a second electronic processor (305), a second audio sensor (325), and a camera (220). In response to determining that a second voice signature matches the first voice signature, the second electronic processor (305) is configured to determine a visual characteristic of the unidentified person based on an image from the camera (220) and update the tracking profile.