分拆及衍生

分拆及衍生

FLAIR 旨在將與行業合作夥伴在人工智能和機械人領域上共同開發的研究、成果與技術轉化為成功的產品和服務。

分拆及衍生過程是技術創新轉移和商業化的重要方法。

FLAIR 歡迎感興趣的人士,包括投資者和行業合作夥伴,一同探索並創建成功及可持續發展的公司,為促進大灣區行業的創新生態系統蓬勃發展作出貢獻。

FLAIR入選香港科學園IDEATION計劃的研發項目 

為了進一步落實創業目標,FLAIR參加了由香港科學園設立的IDEATION計劃,該計劃為期一年,旨在培育有志於科技研發之企業家: 

FLAIR Technologies

Introduction

Potential Scenario

AI Platform - AI Vision and Data Management Platform

.A no-code AI vision algorithm creation training and management platform that supports AI vision accessibility with a low learning curve.

.Functions run on an easy-to-use UI platform which allows the user to use innovations such as intelligent labelling, online interference prediction, multiple options for platform deployment, flexible model selection, and smart tuning.

Spaces where there is no experience with AI vision and can greatly accelerate the implementation of an AI vision application

An AI Vision Inspection Platform for Model Training and Image Annotation

.A web-based machine learning platform that powers fast development of custom visual inspection models and automatic annotation of industrial images.

.Help manufacturers to automate their quality control process effectively and save labour cost from manual inspection and labelling of product images.

Manufacturing production line as the quality control unit or used by online vision system developers and data scientists

ARGUS - Agile Robotics Gridding Universal System

.A flexible quality assurance system that completes complex multi-faceted surface inspection and refining.

.Reduce lead time in vision setup by self-adapting to different object appearances with AI without labelling and using a small training data set.

High-mix low-volume manufacturing space

ILPEPS - Intelligent Logistic Process Evaluation and Predictive System

.Supports decision-making in process-based facilities by helping operators identify unsatisfying process performance, detect process bottlenecks, and recommend solutions for bottleneck root-causes by using digitalised and intelligent technologies.

.Functions are run on a visual interface allowing easy implementation in the workspace of veteran and new facility managers alike.

Can be adapted to manufacturing, commerce, and logistics companies to predict and prevent conveyer belt breakdowns