Motorized Mobile Device Cradle for Subject Tracking and Image Stitching
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Solution Overview
Problem
Conventional mobile devices struggle to capture clear images due to shaking, especially when shooting videos, and combining multiple photos is challenging due to inconsistent angles and overlapping areas, leading to unnatural connections and quality issues.
Innovation Solution
A method for controlling a mobile device cradle that automatically adjusts its rotation speed and direction to keep a subject centered, using motor control based on calculated subject movement, and an image combination method that utilizes a clear zone to merge captured images, allowing for seamless stitching of still and moving images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a mobile phone with camera function is used, then communication convenience is improved, but image stability deteriorates due to shaking
Solution Approach 1:
A cradle device is introduced as an intermediary between the mobile phone and the shooting environment. The cradle includes a rotating module with a motor that automatically adjusts the phone's orientation to track the subject, eliminating the need for manual stabilization while maintaining communication convenience.
Solution Approach 2:
The manual mechanical stabilization method (holding the phone steady) is replaced with an automated motor-driven rotating module. The motor receives control signals based on subject position detection and automatically adjusts the phone's angle, substituting human effort with mechanical automation.
2Manufacturing precision
If a tripod is used to stabilize the mobile phone, then image stability is improved, but adaptability deteriorates due to inability to track moving subjects
Solution Approach 1:
The static tripod structure is transformed into a dynamic system with a rotating module driven by a motor. This allows the mobile phone to actively change its orientation and track moving subjects while maintaining stability, combining the benefits of both fixed and movable mounting solutions.
Solution Approach 2:
The system continuously detects the subject's position in the captured image and uses this feedback to control the motor's rotation. This closed-loop control enables the cradle to automatically adjust and maintain the subject within the frame, providing both stability and tracking capability.
3Ease of operation
If manual adjustment of shooting angle is performed, then operation flexibility is improved, but measurement precision deteriorates due to inconsistent shooting angles
Solution Approach 1:
The system performs automatic angle adjustment without requiring manual intervention. The motor-driven rotating module autonomously calculates and executes the necessary rotation based on subject position detection, eliminating human error while maintaining operational flexibility through automated control.
4Productivity
If multiple divided photos are captured manually, then productivity is improved, but manufacturing precision deteriorates due to inconsistent overlapping areas
Solution Approach 1:
The system uses feedback from image analysis to determine the optimal rotation angle for capturing subsequent photos. By continuously monitoring the subject's position and adjusting the shooting angle accordingly, the system ensures consistent overlapping areas between divided photos, enabling automated panoramic or composite image creation with high precision.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enhances image stability and quality by maintaining the subject in the frame and simplifies image combination, reducing user effort and improving the accuracy of subject tracking, while also allowing for the creation of cohesive and high-quality moving images.
Implementation Method 1
calculating a rotation speed and a rotation direction of a motor included in the mobile device cradle based on the calculated moving speed and moving direction, and controlling the motor based on the calculated rotation speed and rotation direction
Data Source
AI summary
The described technology is a technique related to a method for controlling a mobile device cradle and combining images. The method for controlling a mobile device cradle performed in an application of a user device linked with the mobile device cradle, comprises: pairing the mobile device cradle with the user device; starting capturing an image based on an input of a user; extracting a subject from a captured image; calculating a moving speed and a moving direction of the subject extracted; and calculating a rotation speed and a rotation direction of a motor included in the mobile device cradle based on the calculated moving speed and moving direction, and controlling the motor based on the calculated rotation speed and rotation direction.