Beverage Detection Using Homography and Zone Tracking
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Solution Overview
Problem
Existing object detection and tracking systems face challenges in real-time processing of multiple objects in busy environments, such as stores, due to computational intensity and the inability to determine physical locations of objects within images, especially when objects have non-uniform weights or are misplaced.
Innovation Solution
A tracking system that generates homographies to map camera pixels to physical locations, enables handoff of tracking information between sensors, detects shelf interactions, identifies non-uniform weight objects, and corrects homography errors using markers and distance measuring devices, allowing for efficient object assignment and re-identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional object detection and tracking systems are used in busy environments, then they can identify objects in images, but the computational intensity increases significantly and real-time processing becomes difficult
Solution Approach 1:
The system divides the tracking space into multiple zones and uses multiple sensors to cover different areas. Each sensor tracks objects within its specific zone, reducing the computational burden on any single sensor while maintaining comprehensive coverage of the entire environment
Solution Approach 2:
The system transitions from 2D image pixel coordinates to 3D physical world coordinates by incorporating depth information and camera calibration data. This dimensional transformation enables more efficient spatial reasoning and reduces computational complexity in tracking multiple objects
2Loss of information
If conventional tracking systems are used, then objects can be detected in images, but the physical location of objects within the image cannot be determined
Solution Approach 1:
The system introduces a homography matrix as an intermediary that maps between image pixel coordinates and physical world coordinates. This mathematical transformation layer enables accurate physical location determination without requiring complex additional hardware, bridging the gap between 2D images and 3D space
3Area of stationary object
If multiple sensors are deployed to track objects in large spaces, then coverage is improved, but the handoff of tracking information between sensors becomes complex
Solution Approach 1:
The system merges tracking information from multiple sensors by maintaining a unified object database that consolidates data from all sensor sources. This centralized approach simplifies the handoff process between sensors and enables seamless tracking across the entire monitored area without complex inter-sensor communication protocols
4Productivity
If self-serve beverage detection is implemented, then checkout efficiency is improved, but the ability to handle non-uniform weight objects and misplaced items becomes challenging
Solution Approach 1:
The system uses feedback from multiple sensors including weight sensors and image analysis to continuously verify object assignments. When discrepancies are detected (such as non-uniform weight objects or misplaced items), the system adjusts its tracking and assignment algorithms to maintain accuracy, ensuring reliable self-serve beverage detection
Data Source
AI summary
An image sensor is positioned such that a field-of-view of the sensor encompasses portion of a beverage machine. The field-of-view includes a first zone associated with operating the beverage machine to dispense the beverage and a second zone in which a cup is placed to receive the beverage. A beverage assignment subsystem receives angled-view images from the image sensor. An event associated with an object entering one or both of the first zone and the second zone is detected. In image(s) associated with a start of the event, it is determined that both a hand of a person enters the first zone and the cup is placed in the second zone. If the cup remained in the second zone for at least a threshold time, the beverage is assigned to the person whose hand entered the first zone.