Activity-Triggered Camera Activation for Low-Bandwidth Inventory Tracking
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Solution Overview
Problem
Existing inventory management systems in materials handling facilities face challenges in efficiently tracking and recording inventory activities while minimizing power consumption and bandwidth usage, particularly in large-scale environments with numerous cameras and data transmission requirements.
Innovation Solution
The system transitions devices between active and inactive states based on monitored activity and potential activity, using cameras and other sensors to conserve power and selectively transmit data only when activity is detected, with initial processing occurring locally before sending relevant data to remote computing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cameras and sensors are continuously active to track inventory activities, then measurement precision and reliability are improved, but energy consumption increases
Solution Approach 1:
The system performs preliminary actions by having low-power sensors detect activity indicators before fully activating cameras. This preliminary detection allows the system to prepare for potential inventory activities while consuming minimal power, only transitioning to high-power camera mode when actually needed.
Solution Approach 2:
Instead of continuous operation, the system uses periodic sampling with sensors that continuously monitor for activity indicators while cameras operate in periodic active periods. This periodic activation pattern maintains measurement precision when needed while dramatically reducing overall power consumption during inactive periods.
2Measurement precision
If all camera data is transmitted to remote computing resources, then measurement precision is improved, but bandwidth usage and processing demands increase
Solution Approach 1:
The system extracts only the essential information needed for inventory tracking from the camera data stream. By identifying and transmitting only relevant events (item picks, placements, movements) rather than all captured video data, the system maintains measurement precision while dramatically reducing data transmission volume and processing demands.
Solution Approach 2:
Local processing units act as intermediaries between cameras and remote computing resources. These intermediaries perform initial data filtering, event detection, and preprocessing locally, then transmit only the extracted relevant information to remote systems, reducing overall bandwidth usage while maintaining detection precision.
Data Source
AI summary
Described is a method for determining when to transition devices between different states based on determined potential activity in an area near the devices. When the potential for activity near an input device is below a threshold, the device is maintained in an inactive state. When the potential for activity near the device exceeds the threshold, the device is transitioned to an active state before the potential activity can occur near the device. Likewise, when the device is in an active state, the implementations described herein provide the ability to determine when to begin and end transmission of data from the device to a remote computing resource for processing. For example, obtained video may be processed locally to determine if an activity is occurring. If an activity is occurring, relevant data is sent to a remote computing resource to determine if an action has been performed during the activity.