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創新服務組 Innovative Service Category
Linker Vision Co., Ltd.
Auto-Labeling Website https://www.linkervision.com/zh
President Yuan-Pao, Shieh（Paul）
Address 9F.-3, No. 136, Sec. 3, Zhongxiao E. Established Jul. 30, 2021
Rd., Da’an Dist., Taipei City Date
DataverseTel +886 2 2772 1766 Business AI Auto-Labeling, AI Modeling, AI
Category Solution
Fax +886 2 8773 7177
Capital NT$525,000,000
IVntirsodiuoctnionAI workplace safety to smart cities and beyond.
Linker Vision is an innovation technology By using an end-to-end development
company of AI, formerly known as Linker platform, we enable real-time AI computer
Networks, dedicated to developing computer vision in 2D or 3D to be applied in self-
vision AI acceleration platforms and large- driving cars, automated machinery, or cloud
scale language models. It leverages an streaming. From industries like self-driving,
automated annotation system to quickly manufacturing, healthcare, retail, and more,
produce high-quality training data, a there are many aspects in everyday life that
comprehensive sampling training system can be improved through the application of
that allows AI to continuously learn and AI computer vision. Through connections
adapt to various scene variations, and a real- and integration with hardware partners,
time streaming event detection system with our solution can expedite the launch of AI
edge integration and flexible event logic computer vision products for edge devices
composition, providing fast and accurate and cloud streaming, creating a safer, more
event notifications. This enables AI computer precise, and more efficient future.
vision technology to easily accelerate
its application in various industries, Linker Vision's AI acceleration platform
environments, and requirements. Over the quickly trains highly accurate models in a
years, Linker Vision has served leading clients data-centric way, continuous learning to
from various industries, with applications adapt to new scenes, and end-to-end well-
ranging from autonomous driving and smart integrated with edge servers. With their
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