Lucid is a leading AI vision startup developing software solutions for 3D capture and depth sensing based on machine learning. Leveraging only dual/multi camera setups, the 3D Fusion Technology has been deployed in millions of devices in mass production from mobile phones to 3D cameras to robots, drones, security and other smart camera systems.
Lucid's easily integratable SDK allows standard cameras to outperform emission-based hardware depth systems in cost, space and development by training in the cloud and inferring depth on the edge. For more information, visit www.Lucidinside.com.
Han Jin CEO
Han is the founder and CEO of Lucid. Born in China and raised in Germany, he studied, worked and lived in 8 countries before graduating with an engineering master’s degree from UC Berkeley which directed him into product/program management and operations in technology, and building startups in VR/AR and Robotics from the ground up. He successfully scaled teams from 1 to 50, went through YCombinator, raised multiple rounds of funding from investors and gone multiple times through product development cycles from concept into mass production and retail distribution all the way into Best Buy and Amazon while teaching AI and statistics at UC Berkeley, and contributing to Forbes. Jin and Lucid have been featured in TechCrunch, Forbes, CNET, Inc. and ComputerBild among others and received numerous accolades including Inc.’s and Forbes’ 30 Under 30, Red Herring Top 100, the Lumiere’s Award and Edison Award.
Adam Rowell CTO
Adam is the co-founder and CTO of Lucid. His breakthrough research in computer vision and signal processing as a PhD at Stanford powers the technology behind the world’s first VR180 3D camera, the LucidCam. He worked for many years in the industry for Exponent as a consultant focused on computer vision development, from consumer to business to military applications, coding and leading engineering teams to build the most advanced systems in the industry. Afterwards, he joined Maxim Integrated in their Advanced Analytics team, optimizing the organization of the 10,000 employee public company from the ground up. Adam defines the technology direction and leads Lucid’s engineering team.
Mick Chen Field Application Engineer
Mick is an exceptional field applications engineer coming with years of industry experience not just designing applications, but also implementing and driving integration. He is leading Lucid's Asia engagements and has a MS from UC Berkeley.
Jeff Tsai Business Development Manager
Jeff is the Head of BD at Lucid, mostly based in Taipei and responsible for Asia Pacific market expansion. Prior to Lucid, Jeff has been worked as Business Development Manager and Project Manager across different start-ups in FinTech / EdTech industry with 4+ years work experience, including selling SaaS solutions to mid-large size organizations, generating leads, customer relationship management, customer service. Accomplishments : successfully acquired 6 large-size customers(contract signed) within 1 year, 2 channel partners and 12 KOL partners within 6 months to get brand exposure in order to increase brand awareness. Specialties : business development, go-to-market strategy, sales operations, new client acquisition, account management, strategy, negotiating contract terms, cold calling.
At Lucid, we are bringing depth information to mobile phones with zero hardware costs. We have an easy-integratable Android SDK dynamic and customizable for any dual camera independent of baseline, field of view or resolution as long as there is overlapping performance. We have developed pure software depth technology based on AI leveraging concepts of how the brain processes and learns to perceive the environment. We have years of depth data stored on our secure cloud for continuous improvements of depth vision through Machine Learning and Artificial Intelligence.
Since the founding of our company we believe in making dual cameras as smart as
human eyes without the additional sensors or hardware but only through intelligence
and AI in the software and data, because of the example of our own human vision
which is deficiently equipped but still manages to acquire and process a very precise
depth allowing us to interact with the real-world, fast moving objects and spaces. How
is that possible?
Lucid was founded in 2015 building its own dual cameras, mainly to acquire the
consumer stereo data needed to apply AI and machine learning on, but since the
database has grown and matured over the past years, the company dropped the
hardware to advance the software to a mass production ready and independent
solution for simple dual cameras to capture precise depth the exact same way our
eyes and brain work. We see objects, shapes, forms, spaces etc. since we were born
and thus improve our depth perception everyday the more we see. Why should that
not be possible through pure software?
14 days annual PTO, Health and Labor Insurance, Flexible working hours, Cozy working space in Taiwan Tech Arena
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