AR Eye Covering and Wrist Gesture Interface for Object Recognition
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Solution Overview
Problem
Accurate and uniform control of environmental conditions in large cold storage facilities is difficult, leading to potential degradation of stored goods and challenges in assessing quality, particularly due to varying temperature and humidity needs across different types of goods.
Innovation Solution
Implementing a system with wireless transceivers and sensors to quantify and track environmental conditions and product locations, enabling 3D profiling and optimization of HVAC operations, combined with user interfaces for remote monitoring and alerting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a comprehensive sensor network is deployed to track all products and environmental conditions, then measurement precision and monitoring coverage are improved, but device complexity and system cost increase
Solution Approach 1:
The system divides the cold storage facility into multiple zones with distributed sensor nodes, each independently measuring local environmental conditions. This segmentation allows precise tracking without requiring a monolithic complex system, as each node operates autonomously and data is aggregated centrally.
Solution Approach 2:
The sensor network is designed to simultaneously track multiple parameters (temperature, humidity, location) and monitor various subjects (products, equipment, environmental conditions) using a unified system architecture. This multi-functionality reduces overall system complexity compared to separate specialized systems.
2Reliability
If real-time monitoring of all products is implemented, then product quality control is improved, but loss of time for manual inspection and operational overhead increases
Solution Approach 1:
Products are equipped with RFID tags and sensors that automatically transmit their status and location without human intervention. The system performs self-monitoring and self-reporting, eliminating the need for manual inspection while maintaining continuous quality control through automated data collection and analysis.
Solution Approach 2:
The system continuously collects real-time data from sensors and RFID readers, processes this information, and provides immediate feedback about environmental conditions and product status. This closed-loop feedback enables proactive quality control without requiring manual inspection time.
3Loss of information
If detailed tracking of individual products is implemented, then information availability is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system combines multiple data sources (RFID reader data, sensor readings, environmental data) into a unified product tracking database. By merging these data streams and using a centralized processing architecture, the system manages detailed product information without requiring complex distributed processing systems.
Solution Approach 2:
A centralized data processing server acts as an intermediary between the sensor network, RFID readers, and the user interface. This intermediary layer consolidates and processes raw data from multiple sources, reducing the complexity at individual nodes while maintaining comprehensive product information availability.
Data Source
AI summary
Apparatus including a wearable eye covering that integrates sensors, cameras, wireless interfaces, and a display to deliver context aware digital content aligned with a user's direction of interest. Sensors including a gyroscope, accelerometer, and magnetometer determine three-dimensional orientation and heading; cameras capture items within a field of view. A wrist strap with physiological sensors translates hand and finger gestures into control commands. A controller fuses motion and camera data, performs object recognition using artificial intelligence models, and generates digital annotations. A heads-up display embedded in a lens overlays contextual content aligned to the user's gaze. Short-range transceivers link the wearable and wrist strap and optionally a mobile smart device. The wearable and wrist strap cooperatively present an augmented reality interface responsive to gaze and gestures for real-time interaction with recognized physical objects.