初步实现对T恤衫平面二维尺寸检测,判定是否合格,尺寸测量误差小于0.5cm okr 如何写
时间: 2024-05-19 19:15:41 浏览: 12
Objective:
To achieve the initial implementation of two-dimensional size detection for T-shirts and determine their quality, with a measurement error of less than 0.5cm.
Key Results:
1. Develop a computer vision algorithm for detecting T-shirt dimensions based on input images.
2. Train the algorithm using a dataset of T-shirt images with known dimensions.
3. Test the algorithm on a variety of T-shirt images and verify its accuracy.
4. Integrate the algorithm into a production line for automated quality control.
5. Monitor the measurement error of the system and optimize it to meet the target of less than 0.5cm.
Action Items:
1. Research and select appropriate computer vision techniques for T-shirt dimension detection.
2. Collect a dataset of T-shirt images with known dimensions and preprocess it for training.
3. Train the computer vision algorithm using the dataset and optimize its hyperparameters.
4. Test the algorithm on a separate dataset of T-shirt images and evaluate its accuracy.
5. Implement the algorithm in a production line and integrate it with other quality control systems.
6. Continuously monitor the measurement error and make adjustments to improve accuracy.
7. Document the development process and results for future reference and knowledge transfer.