Sensor-Based AI Deployment With Holographic Alerts
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Solution Overview
Problem
Existing AI and machine learning applications are limited by the lack of processing power in local devices, restricted to single-purpose 'sandboxes', and have limited communication channels for alerts and notifications.
Innovation Solution
A system with a local application server and remote server architecture that utilizes specialized hardware and software for AI and machine learning, enabling extensible frameworks, multiple communication channels, and integrating with holographic display devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If AI and machine learning applications are deployed on local computing devices, then the applications can process sensor data locally, but the processing power is insufficient to effectively implement AI and machine learning
Solution Approach 1:
The system divides the computing architecture into two segments: a local computing device for data collection and a remote server for AI/ML processing. The local device segments sensor data transmission to the remote server, which has the necessary processing power for AI and machine learning operations.
Solution Approach 2:
A remote server acts as an intermediary between the local computing device and the AI/ML processing requirements. The server receives sensor data from the local device, performs complex AI and machine learning operations, and returns results, thereby enabling AI functionality without requiring the local device to have sufficient processing power.
2Adaptability or versatility
If AI applications are limited to single-purpose sandboxes, then the applications are simple and easy to implement, but the capabilities cannot be extended for other purposes
Solution Approach 1:
The system implements a universal framework where the same sensor infrastructure and communication protocols can support multiple AI applications with different purposes. The remote server provides a general-purpose platform that can process various types of sensor data for different applications, enabling capability expansion without requiring separate dedicated systems for each purpose.
3Adaptability or versatility
If users are limited to a single communication channel for alerts, then the notification system is simple, but the ability to transmit alerts through multiple channels is restricted
Solution Approach 1:
The system merges multiple communication channels (visual displays, audio alerts, holographic projections) into a unified notification system managed by the remote server. The server consolidates alert transmission logic and can route notifications through any available channel, providing diverse communication options while maintaining a relatively simple centralized architecture.
Data Source
AI summary
A method, apparatus, and computer-readable medium for sensor-based application deployment with holographic output, including executing a sensor analysis application configured to interface with one or more hardware sensors at the local deployment site and generate result data based at least in part on data captured by the one or more hardware sensors, transmitting holographic display instructions to a holographic display device at the local deployment site, the holographic display instructions being determined based at least in part on one or more of the sensor data or the result data, and transmitting the result data to a remote server over the computer network, wherein the remote server is configured to identify one or more communications channels and transmit one or more alerts over the one or more communications channels based at least in part on the received result data.