10 Nov 2021 (Wed) | 11:00 - 18:30 | Webinar
Computer Vision (CV) and Optical Character Recognition (OCR) technologies have been famous for their accuracy in recognizing images and objects. They are able to learn and improve through studying different models. However, the entry barrier of controlling this technology is fairly high. Come and learn how you can overcome the challenges and best use this powerful technology.
This webinar aims to equip ICT professionals with the knowledge on understanding the trends, technologies, applications, limitations and the future trends of Computer Vision (CV) and Optical Character Recognition (OCR).
To equip Hong Kong ICT professionals with knowledge on the latest digital transformation trends and implementation strategies.
Date November 10 2021 (Wednesday)
Time 11:00 - 18:30
Admission Fee Free
For ICT professionals only
11:00 – 11:10 Registration
11:10 – 11:25 HKEBA Opening - Introduction to PASS, project details & HKEBA
11:25 – 12:25 Workshop Part 1
12:25 – 13:30 Lunch Break
13:30 – 16:15 Workshop Part 2
16:15 – 16:30 Panel Discussion / Q&A
16:30 – 16:35 HKEBA Summary - How it may be relevant to attendees
16:35 – 16:45 Closing & Feedback Survey
16:45 – 18:30 Part 3 - Networking session / Breakout session - Each speaker will have their own Zoom webinar link for the breakout session
*Please note that questions will only be taken during the Q&A session. And hands raised during webinar will only be attended for technical difficulties.
Verlebie Chan - Customer Engineer, Google Cloud
Patrick Leung - Field Sales Representative, Google Cloud
The above speakers have 1. At least 3 years of the topics experience, or 2. Currently work for/worked with or working closely with the topics
Introduction to topics / technologies
Application of Machine Learning: Computer Vision and Optical character recognition (OCR) - Why do we need Computer Vision and Optical Character Recognition (OCR) and What are their impacts
Real Case Sharing in Computer vision and Optical character recognition
Process of running Machine Learning Problem for Computer Vision & OCR - From Image acquisition, Image processing, Feature extraction, Image segmentation to Image clarification
Framing problem - How to define the problem which is potentially solved by Computer Vision & OCR
Common tools and software of running Computer Vision & OCR
Real-time Demonstration of Computer vision and OCR
Ways to improve the accuracy and effectiveness of Computer vision and OCR
Common Issues of running Computer vision and ORC, and their potential solutions
Future trend of Computer Vision and Optical character recognition
Note: The seminar videos and materials will be uploaded onto HKEBA’s website for wider dissemination.
Full Seminar Video: https://youtu.be/wQd1ejHp67Q
Acknowledgment of Support and Disclaimer
This material/event is funded by the Professional Services Advancement Support Scheme of the Government of the Hong Kong Special Administrative Region. Any opinions, findings, conclusions or recommendations expressed in this material/any event organised under this project do not reflect the views of the Government of the Hong Kong Special Administrative Region or the Vetting Committee of the Professional Services Advancement Support Scheme.