Many thanks again for your excellent work. I hope to work with you again as I look towards creating more international touring exhibits through National Geographic.
Dr. Frederik Hiebert
The taste based machine learning recommendation algorithm developed for Farlang is exactly the type of innovation we are looking for.
We look at a challenge from different perspectives. Behavior science. Statistics. Technology. Domain expertise.
That makes us better in solving your problem than a traditional data-science boutique.
Computer Vision @Edge is used for real time monitoring. Our engineering team can build complex comupter vision solutions using CNN based deep learning. With mili-second response times and in low computational power environments.
Typical use cases are:
Tracking people in store or crowds
Transportation Infrastructure Management
Drone footage inspection & Home security Management
Real-Time Visualization in Augmented Reality
Rather than getting the data streamed up to the source intelligence, it's bringing the intelligence right down to the source of the data.
Some use cases:
1) Energy: Optimize wind turbine and other renewable energy performance by quickly adjusting to changing environmental parameters.
2) Retail: In-store customer tracking, creating recommendations for sales staff
3) Industry 4.0: Predictive Maintenance in manufacturing
Previous Media Exposure:
JCK (Reed-Elsevier) in 2017 “Are Jewelry Shoppers Turning Away from Expensive Jewelry” quotes Patrick Slavenburg
Manufacturing Jewelers & Suppliers of America in 2012 on “Online Sales Tax” quotes Patrick Slavenburg
JCK on Milennials and Diamonds quoting Patrick Slavenburg
Journal Management Team interview Patrick Slavenburg in Silicon Valley
Journal FEM Business (part of Elsevier-Reed) interview “Dutch Lessons in Silicon Valley” on Patrick Slavenburg