Real-Time Object Detection via Camera Analysis
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Solution Overview
Problem
Current input methods for devices, such as mobile devices, lack efficient real-time object detection and interaction capabilities, limiting user control and engagement in applications like games that require locating objects within the camera's field of view.
Innovation Solution
A method and apparatus that utilize real-time camera data analysis to detect and highlight objects within the field of view, allowing for user interface outputs and subsequent process operations based on object identification, with features like graphical highlighting and time-based scoring mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If real-time camera data analysis is implemented to detect objects, then object detection capability is improved, but device processing load and energy consumption increase
Solution Approach 1:
The system pre-loads and caches object templates and recognition algorithms in memory before they are needed. Image preprocessing steps such as grayscale conversion and edge detection are performed in advance when the camera is not actively being used for detection, reducing the computational burden during real-time operation.
Solution Approach 2:
The system dynamically adjusts the detection frequency and processing intensity based on the current operational context. When objects are stationary or changes are minimal, the system reduces analysis frequency to conserve energy. When rapid movement or critical detection is needed, the system increases processing power allocation to the camera data analysis.
2Ease of operation
If graphical information is displayed to highlight detected objects, then user interaction capability is improved, but display complexity and processing overhead increase
Solution Approach 1:
The graphical highlighting system divides the display into distinct functional zones: the main camera viewfinder area, the object detection overlay layer, and the control interface area. Each zone is independently managed and rendered, allowing the system to optimize rendering for each specific function rather than managing a monolithic complex interface.
Solution Approach 2:
A dedicated graphical overlay layer is introduced as an intermediary between the camera feed and the user interface controls. This overlay layer handles all object highlighting and visual feedback, acting as a mediator that translates detection data into user-friendly visual representations without requiring changes to the underlying camera or control systems.
3Speed
If the system analyzes substantially real-time data from the camera, then responsiveness is improved, but processing time and computational resources increase
Solution Approach 1:
The system implements periodic sampling of camera data at optimized intervals rather than continuous analysis. The sampling frequency is dynamically adjusted based on scene stability - during stable scenes, sampling occurs at lower frequencies to reduce processing, while during detected motion or critical moments, the sampling rate increases to maintain responsiveness.
Solution Approach 2:
The system performs partial analysis on every frame by focusing computational resources only on regions of interest (ROI) rather than analyzing the entire image. Once an object is detected in a particular area, the system intensifies analysis in that specific region while reducing or skipping analysis in other areas, achieving high responsiveness where needed while conserving computational resources elsewhere.
Data Source
AI summary
A method comprises causing a user interface to provide an output directly or indirectly specifying at least one object, analyzing substantially real-time data from a camera to determine if the at least one object is located in the field of view of the camera, and, in response to determining that the at least one object is located in the field of view of the camera, causing an indication that the object has been located to be provided through the user interface.