Light Emitter Configuration via Image-Based FOV Association
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing audio/video (A/V) devices lack efficient methods for configuring and controlling light emitters, such as LEDs, to enhance security and deterrence around homes, particularly in relation to detecting and responding to motion and environmental conditions.
Innovation Solution
A system and process for configuring and controlling light emitters using a graphical user interface (GUI) on a client device, which receives image data from A/V devices to associate light emitters with fields of view, group them, and activate/deactivate based on motion detection and environmental data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If light emitters are manually configured and controlled, then ease of operation is reduced, but device complexity is also reduced
Solution Approach 1:
The system automatically detects light emitters in the field of view and performs configuration without requiring manual user intervention. The A/V device captures images, identifies light emitters through image processing, and automatically associates them with corresponding regions, eliminating the need for manual configuration while maintaining simplicity.
Solution Approach 2:
The system uses automated image processing and machine learning algorithms to rapidly identify and configure light emitters, significantly accelerating the configuration process compared to manual methods. This automated detection and association process reduces configuration time from minutes or hours to seconds.
2Reliability
If light emitters are automatically activated based on motion detection, then security enhancement is improved, but energy consumption increases
Solution Approach 1:
The system activates light emitters periodically or on-demand based on motion detection events rather than continuously. Motion detection triggers light activation only when needed, creating an event-driven operation mode that enhances security while minimizing energy consumption during idle periods.
Solution Approach 2:
The system uses motion detection feedback to control light emitter activation. The motion sensor continuously monitors the environment and provides feedback that triggers light activation only when motion is detected, creating a closed-loop control system that balances security enhancement with energy efficiency.
3Productivity
If multiple light emitters are grouped and controlled together, then control efficiency is improved, but device complexity increases
Solution Approach 1:
The system groups multiple light emitters into zones or regions based on their spatial relationships detected through image processing. By merging control of multiple individual light emitters into unified groups, the system improves control efficiency allowing users to control entire zones with single commands while the system manages the complexity of individual device coordination.
Solution Approach 2:
The A/V device performs multiple functions including motion detection, image capture, light emitter identification, and group management through a single integrated system. This multi-functionality reduces the need for separate configuration devices and simplifies the overall system architecture while maintaining efficient control of multiple light emitters.
Data Source
AI summary
This application is directed to techniques and processes for configuring light emitters, and techniques and processes for controlling the light emitters. For example, network device(s) may transmit, to a client device, first image data generated by an electronic device. The client device may then receive input indicating portion of a field of view (FOV) of the electronic device that represent light emitters. The network device(s) may then generate associations between the portions of the FOV and the light emitters. Later, the network device(s) may transmit, to the client device, second image data generated by the electronic device. The client device may then receive input selecting portions of the FOV that are associated with the light emitters. Based on the input, the network device(s) may control the light emitters, such as by causing the light emitters to activate or deactivate.