Wearable Camera Assembly for Shelf Inventory and Placement Analytics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Managing and tracking inventory in retail environments is challenging and time-consuming, requiring significant resources to monitor product availability and consumer behavior, with existing methods being inefficient and labor-intensive.
Innovation Solution
A wearable device with sensors, such as cameras and IMUs, captures data on inventory status and consumer behavior, processed on-site and in the cloud, using machine learning and computer vision to generate real-time analytics like realograms, improving inventory management and product placement analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inventory monitoring methods are used, then labor intensity and time consumption increase, but measurement precision and data accuracy remain limited
Solution Approach 1:
The patent replaces manual visual inspection and physical counting with automated image capture devices (cameras) and optical recognition systems. The wearable device with cameras captures images of shelves and products, which are then processed by computer vision algorithms to automatically identify product locations, inventory status, and shelf conditions, eliminating the need for manual mechanical inspection.
Solution Approach 2:
The patent creates digital copies of the physical inventory environment through image capture. Cameras mounted on wearable devices take photographs of shelves and products, generating digital representations that are then analyzed by image processing algorithms. This digital copy allows for automated inventory tracking without physically handling or moving products.
2Productivity
If automated image capture and processing systems are deployed, then productivity and measurement precision improve, but device complexity and processing requirements increase
Solution Approach 1:
The wearable device is designed as a multi-functional integrated system that combines image capture (cameras), inertial sensing (IMU for motion tracking), wireless communication (for data transmission), and local processing capabilities. This universal device can perform inventory monitoring, product placement verification, shelf condition assessment, and customer behavior analysis all through a single wearable unit.
Solution Approach 2:
The system divides the complex inventory monitoring task into separate functional modules: image capture by cameras, motion tracking by IMU, local preprocessing of data, and cloud-based advanced analysis. This segmentation allows each component to be optimized independently while working together as an integrated system.
3Speed
If real-time processing of image data is performed, then responsiveness and productivity improve, but energy consumption and computational requirements increase
Solution Approach 1:
The system performs partial processing locally on the wearable device (basic image capture, motion data collection, and preliminary filtering) and sends only essential data to the cloud for comprehensive analysis. This partial local action reduces the computational burden and energy consumption on the battery-powered wearable device while still achieving real-time responsiveness through cloud processing.
Solution Approach 2:
Instead of continuous high-power processing, the system uses periodic action by triggering image capture and processing based on motion detection from the IMU. When the wearable device detects movement or reaches specific locations, it activates the camera and processing functions, rather than operating continuously, thereby reducing overall energy consumption while maintaining real-time monitoring capability.
Data Source
Figure 1
Figure 2A~2B
Figure 3
AI summary
A wearable device has a body with one or more connectors for coupling the body to a lanyard. A camera assembly is mounted on the body. The camera assembly includes a pair of cameras configured to capture images of an environment surrounding the wearable device. The wearable device also includes a network adapter to transmit data derived from the captured images to a processing system.