The 3rd B4B Challenge - AI Solutions Address the Pain Points of Traditional Industries and Bring Opp
The 3rd B4B Challenge
AI Solutions Address the Pain Points of Traditional Industries and Bring Opportunities
(17 Apr 2019, Hong Kong) The 3rd B4B Challenge, organised by B4B Limited in partnership with Hong Kong Science and Technology Parks Corporation (HKSTP), held the award presentation ceremony today at Hong Kong Science Park. This half-year competition aims to promote the development of a healthy and sustainable ecosystem for Big Data and AI innovation in Hong Kong and to match talents and enterprises with an intensive accelerator programme.
"AI and Beyond" Promotes Local Big Data Competitiveness
This year’s contest was themed “AI & Beyond”. Thirty teams from Professional and Student streams competed to enter the final stage. The 12 finalists come from Hong Kong, Mainland China, Thailand, Indonesia and Australia, with opportunities to join the Energiser Week in Shanghai to gain insights on Mainland China business operation, followed by a three-month mentorship guided by industry and domain experts.
The award ceremony was officiated by Mr. Victor Lam, Government Chief Information Officer, The Government of the HKSAR; Mr. Herbert Chia, Honorary Chairman, B4B Limited; Dr. Toa Charm, Associate Professor, CUHK Business School; Mr. Yong Lu, Director of Shanghai Data Innovation Centre & Vice President of Shanghai Data Exchange; Mr. Francois Lee, Director, B4B Limited; Mr. Peter Yeung, Headof Electronics & ICT Clusters, Smart City Platform, HKSTP and Ir. Stephen Lau, Personal Data Privacy Advisor, B4B Challenge. The Champion teams of the Professional and Student streams were announced.
Professional Stream Champion - AI Photography Enhances the Efficiency of Traditional Garment Industry
Quikec International Ltd. (Quikec), an incubate of HKSTP’s Incubation Programme, was named the Champion of the Professional Stream. With big data of over 160 thousand finished apparels under a 360 degree camera, Quikec’s “AI360-Q” photo-shooting application can accurately address every production detail of each apparel and to find potential defects. The automatic apparel quality check programme uses AI technology to check the quality of the product anytime and pick up all the problematic products, hence it greatly reduces the time for quality inspection done by labour and improves production efficiency.
The judging panel stated that the project of Quikec using image/video analytics to automate apparel quality check processes fits well in the current industry situation. Throughout the six-month competition, the team took the mentors’ comments and recommendations seriously and significantly improved their market approach. The determination and dedication resulted in Quikec becoming the Champion of the Professional Stream.
Student Stream Champion - AI Helps Graduates in Video Interview
HiHire is the Champion of the Student Stream. Their project was inspired by challenges faced by graduates when doing video interviews. Nowadays, many corporates screen job applicants by reviewing their video interview clips. The selection is done by AI application and the screening criteria is not open to public, so it is difficult for applicants to evaluate their performance. HiHire develops an evaluation software by analysing the overall performance of interviewing video clips that were sent to corporates by local graduates. With the AI software programme, candidates will get a report on their presentation skills including their gesture, tonality, level of confidence, etc, to help improve their interviewing skills. The programme collects data from successful interview clips from various companies which allows applicants to practice based on the criteria that their targeted companies look for; thus increase their chance of being selected.