Selective Data Transmission for Activity-Triggered Camera Monitoring
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Solution Overview
Problem
In materials handling facilities, existing systems face challenges in efficiently managing power consumption and data transmission while tracking inventory items, often resulting in high energy usage and bandwidth requirements due to continuous monitoring and data processing across multiple cameras.
Innovation Solution
Implementing a system that transitions devices between inactive and active states based on detected activity, using cameras and other sensors to conserve power and selectively transmit data only when activity is detected, allowing for local processing and reduced bandwidth usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous monitoring is implemented to track inventory items, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system dynamically transitions cameras between active and inactive states based on detected activity. When activity is detected in a region, cameras in that region are activated to maintain measurement precision. When no activity is present, cameras are deactivated to reduce power consumption. This dynamic state management resolves the contradiction between continuous monitoring accuracy and energy efficiency.
Solution Approach 2:
The system implements periodic activity detection using sensors and transitions camera states accordingly. Instead of continuous operation, cameras are activated periodically when needed based on detected activity patterns, maintaining inventory tracking accuracy while significantly reducing overall power consumption through intermittent operation cycles.
2Loss of information
If continuous data transmission is implemented to monitor inventory, then loss of information is reduced, but bandwidth requirements increase
Solution Approach 1:
The system extracts and transmits only the essential information needed for inventory management. Instead of transmitting all captured data continuously, the system identifies and transmits only relevant data packets when activity is detected, maintaining data completeness for inventory tracking while minimizing unnecessary data transmission volume and bandwidth consumption.
Solution Approach 2:
The system transmits data partially and selectively rather than continuously. When cameras are in inactive state, no data is transmitted. When activity is detected and cameras are activated, data transmission occurs to capture the necessary inventory changes. This partial action approach ensures no inventory information is lost while avoiding excessive bandwidth usage from continuous transmission.
3Reliability
If all cameras are kept active to capture activity, then reliability is improved, but use of energy increases
Solution Approach 1:
The monitoring system is segmented into multiple independent camera regions, each capable of independent active and inactive states. This segmentation allows the system to maintain reliability by ensuring that when activity occurs in any region, the cameras in that specific region are activated to capture it. Individual region management ensures reliable activity detection without requiring all cameras to remain continuously active, thereby reducing overall power consumption.
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.