Multi-Camera Movement Tracking With Sensor-Based Item Identification
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Solution Overview
Problem
As the number of cameras and sensors in environments like retail stores increases, identifying relevant events and data of interest becomes challenging, particularly in distinguishing object movements and interactions, and existing systems struggle to accurately identify moving objects.
Innovation Solution
A management service that integrates video data from multiple cameras with secondary sensor data, such as credit card readers and NFC devices, to track and analyze the movement of individuals, identify attributes, and generate summaries of items of interest based on their movements and attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the number of cameras and sensors is increased to capture more environmental data, then the quantity of collected information is improved, but the difficulty of identifying relevant events and data of interest worsens
Solution Approach 1:
The patent extracts and isolates specific features of interest from the large volume of video data collected by multiple cameras. By using feature extraction techniques, the system identifies and separates relevant events (such as object movements, interactions, or anomalies) from the overwhelming amount of background visual information, thereby resolving the contradiction between collecting comprehensive data and identifying relevant events.
Solution Approach 2:
The patent introduces an intermediary processing system that acts as a mediator between the multiple cameras/sensors and the final analysis. This intermediary layer includes algorithms for detecting objects, tracking movements, and filtering events, which transform the raw data from numerous cameras into structured, meaningful information that is easier to analyze and interpret.
2Adaptability or versatility
If multiple cameras are deployed to track object movement, then the coverage and tracking capability are improved, but the complexity of processing and analyzing video data from multiple sources worsens
Solution Approach 1:
The patent merges the video data streams from multiple cameras into a unified processing framework. By combining the data from different camera sources and applying coordinated tracking algorithms, the system achieves comprehensive object tracking across the entire environment while managing the processing complexity through integrated multi-camera coordination and data fusion techniques.
Data Source
AI summary
Systems, methods, and software to identify events of interest associated with an objects movement in an environment. In at least one implementation, a management service obtains video data from a plurality of cameras for the environment. The management service further obtains an identifier associated with a person from a sensor and identifies attributes associated with the person based on the identifier. Once the person is identified, the management service can track the movement of the person in the environment prior to arriving at the sensor using the video data and can identify items of interest for a summary based on the movement of the person in the environment and the attributes associated with the person.