Target Detection via Laser Tracker and 3D Scanner Calibration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for positioning objects using industrial robots require large-scale optical imaging devices and angle measurement units, leading to high equipment costs and complex setups, especially when dealing with multiple car models.
Innovation Solution
A target detection method utilizing a combination of a first position information generation device (laser tracker) for initial calibration and a second position information generation device (3D scanner) for final position correction, eliminating the need for dedicated large-scale devices on each manufacturing line.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated positioning mechanisms (molds or jigs) are used for each car model, then positioning precision is improved, but equipment cost increases and installation space requirements increase
Solution Approach 1:
The patent applies universality by using a single type of positioning mechanism (laser tracker) that can serve multiple car models through software configuration rather than requiring dedicated hardware for each model. The laser tracker can be recalibrated via software to accommodate different vehicle dimensions and positioning requirements, eliminating the need for multiple dedicated positioning mechanisms.
Solution Approach 2:
The patent employs parameter changes by modifying calibration parameters and measurement settings through software rather than changing physical hardware. When switching between car models, the system adjusts calibration data, coordinate system parameters, and measurement protocols digitally, allowing the same physical device to adapt to different positioning requirements without hardware modifications.
2Measurement precision
If multiple dedicated positioning mechanisms are provided for multiple car models, then positioning accuracy for each model is maintained, but the number of set-up changes increases and total set-up change time increases
Solution Approach 1:
The patent applies preliminary action by pre-storing calibration data and positioning parameters for multiple car models in the system memory. Before actual positioning begins, the system can quickly load the appropriate calibration data for the specific car model being worked on, eliminating the need for time-consuming physical reconfiguration of dedicated positioning mechanisms for each model changeover.
Solution Approach 2:
The patent implements dynamics by making the positioning system software-configurable and adaptable rather than static and model-specific. The laser tracker system can dynamically switch between different car model configurations through software updates, allowing rapid adaptation to different positioning requirements without physical reconfiguration or dedicated hardware changes.
3Measurement precision
If large-scale optical imaging devices and angle measurement units are used, then positioning capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent applies mechanics substitution by replacing complex mechanical positioning systems with optical measurement technology. Instead of using large-scale mechanical optical imaging devices and angle measurement units, the system uses a laser tracker that employs optical time-of-flight measurement to determine positions, eliminating the need for complex mechanical components while maintaining or improving measurement precision.
Solution Approach 2:
The patent uses an intermediary approach by introducing a laser tracker as a mediating device between the workpiece and the positioning system. The laser tracker serves as an intermediary that captures positional information through optical measurement and translates it into usable coordinate data, simplifying the overall system architecture while maintaining high positioning capability.
Data Source
AI summary
There is provided a target detection method and detection device that can detect a target by a simple method and configuration.A target detection method includes: a step of, at a first position information generation device, measuring a position and a posture of a first target; a step of, at a second position information generation device, measuring the position and the posture of the first target; a step of calculating a position and a posture of one of the first position information generation device and the second position information generation device with respect to other one of the first position information generation device and the second position information generation device based on a difference between the position and the posture of the first target measured by the first position information generation device, and the position and the posture of the first target measured by the second position information generation device; and a step of, at the second position information generation device, measuring a position and a posture of a second target using the position and the posture of the one of the first position information generation device and the second position information generation device with respect to the other one of the first position information generation device and the second position information generation device.