Spatial Telemeter Alert Reconnaissance System for Automated Inventory
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Solution Overview
Problem
Current IoT-enabled inventory management solutions require manual intervention, limiting their scalability and adoption by consumers and small businesses due to lack of universal and well-implemented systems.
Innovation Solution
A spatial telemeter alert reconnaissance system (STARS) that uses IoT-enabled spatial mapping and monitoring devices to create initial and updated space maps, allowing users to define parameters for occupancy thresholds, triggering alerts and automated tasks when specified conditions are met, facilitating automated inventory management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual intervention is used in inventory management, then system complexity is reduced, but productivity and scalability deteriorate
Solution Approach 1:
The system enables self-service inventory management through automated spatial mapping and monitoring. The SMM device autonomously captures spatial data, calculates occupancy volumes, and triggers alerts without human intervention, allowing the inventory system to serve itself
Solution Approach 2:
Manual mechanical inventory checking is replaced with automated spatial mapping technology. The system uses optical/electromagnetic fields (camera-based or LiDAR spatial mapping) to detect and measure inventory occupancy, substituting physical manual measurement with field-based automated detection
2Productivity
If automated spatial mapping is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The SMM device performs multiple functions within a single system: spatial mapping, occupancy detection, volume calculation, and alert triggering. This multi-functionality reduces the need for separate devices while maintaining high productivity through comprehensive automated monitoring
Solution Approach 2:
The system introduces a processing layer that mediates between raw spatial data and inventory management decisions. The processor analyzes spatial maps, calculates occupancy volumes, and translates data into actionable alerts, simplifying the overall system architecture while enabling complex automated functionality
3Measurement precision
If real-time monitoring is implemented, then measurement precision is improved, but use of energy increases
Solution Approach 1:
Instead of continuous monitoring, the system performs spatial mapping at periodic intervals or triggered by specific events. The SMM device captures spatial data periodically or when occupancy changes are detected, maintaining measurement precision while reducing energy consumption compared to constant real-time monitoring
Data Source
AI summary
Concepts and technologies are disclosed herein for a spatial telemeter alert reconnaissance system (“STARS”). According to one aspect disclosed herein, the STARS can receive, from a spatial mapping and monitoring (“SMM”) device, an initial space map for a space in which the SMM device is deployed. The initial space map can include a volume capacity of the space. The STARS can receive, from a user device, at least one space parameter to be utilized for the space in which the SMM device is deployed. The STARS device can update the SMM device in accordance with the space parameter. In some embodiments, the at least one space parameter can include a mapping frequency. The mapping frequency can instruct the SMM device to perform spatial mapping of the space at a specified time interval.