Touch Focus Camera System with Predictive Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Photographing moving objects is challenging due to the difficulty in setting the camera's focus on the object in time, as it often moves between focusing and capturing the image, leading to unfocused photos.
Innovation Solution
A camera system with a touch-sensitive electronic viewfinder that adjusts and maintains a 'hit area' based on the object's movement, allowing continuous tracking and prediction of the object's location, enabling reliable focus on moving items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional touch focusing is used, then the user can select an object by touching the viewfinder, but the object may have moved by the time focus is adjusted, resulting in improper focus
Solution Approach 1:
The system performs preliminary actions by continuously tracking the object's movement and pre-calculating the touch area before the user actually touches the viewfinder. The touch area is established and maintained at the object's former location with predictive capabilities, so when the user touches, the focus is already prepared or can be rapidly adjusted to the correct position.
Solution Approach 2:
The touch area is made dynamic rather than static. It continuously adjusts its position, size, and active duration based on the object's movement behavior. The system monitors the object's trajectory and dynamically recalculates the touch area to maintain it at the appropriate location, allowing the focus system to adapt to changing conditions in real-time.
2Measurement precision
If the user retouches the electronic viewfinder to reset focus, then focus may be corrected, but the object may have moved again or spontaneity is lost
Solution Approach 1:
The system performs self-service by automatically tracking the object and maintaining the touch area without requiring continuous user intervention. Once the user makes an initial touch, the system continues to monitor the object's movement and adjusts the touch area accordingly, eliminating the need for repeated retouching by the user.
Solution Approach 2:
The system uses feedback from continuous object tracking to automatically adjust the touch area. The controller monitors the object's position and movement, and this feedback is used to dynamically update the touch area's location and parameters, creating a closed-loop system that adapts to the object's behavior without requiring additional user input.
3Reliability
If the touch area remains active in a former position, then focus can be maintained on moving objects, but the system complexity increases
Solution Approach 1:
The system performs preliminary tracking and calculation of the touch area before focus adjustment is needed. By continuously monitoring the object's movement and pre-establishing the touch area at the object's former location with predictive algorithms, the system prepares the focus data in advance, making the actual focusing operation simpler and more reliable.
Solution Approach 2:
The touch area system serves multiple functions: it acts as both a user interface element for selecting objects and as a tracking mechanism for maintaining focus on moving objects. The same touch area structure is used for both static and dynamic targets, unifying the focus acquisition process whether the object is stationary or moving.
Data Source
AI summary
Techniques for focusing a camera assembly on a moving object may include generating a preview video signal of a scene containing the object and analyzing the video signal to track movement of the moving object. As part of the analysis, a touch area for a touch sensitive electronic viewfinder of the camera assembly may be established. The touch area corresponds to the moving object and remains active in a former position of the object.