S-0319
Deep Learning for Advanced Computer Vision SDK (DLACV)
Our product DLACV is a mature and reliable technology that can save time, improve quality and ultimately save costs. In the past few years, deep learning methods have been proven to be superior to the latest machine learning techniques in many fields, and computer vision is one of the most prominent cases. The most important deep learning schemes used in computer vision problems, such as object detection, facial recognition, motion and activity recognition, and human pose estimation, including convolutional neural networks, deep Boltzmann machines and deep belief networks, and stacked noise reduction autoencoders.
Environment
Transport
Artificial Intelligence (AI)
Deep Learning
Machine Learning
Video Analytics
1. Computer vision + robot naviation
2. Computer Vision in Metrology
3. Computer vision for screen readers
4. Computer vision for intruder detection
5. Computer vision for assembly verification
6. Computer Vision for Code and Character Reader (OCR)
7. Computer vision defect detection
Robot Data Company Limited
52220100
Unit 527, Building 19W, Hong Kong Science Park, Shatin, Hong Kong.
If any government department would like to conduct PoC trial or technology testing on the I&T solution, please contact Smart LAB.