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SOD.AI SOCIAL: Computer Vision in Production 3.0
December 9, 2020 @ 5:00 pm - 7:00 pm
Get ready – our SOD.AI Computer vision series is back!
On 9th December, we’ll be hosting an interactive online session, where three technical speakers will lead a 30-minute presentation on how they use computer vision in their own lives. Topics will include: the importance of camera and lens selection, body measurement, and tips and tricks to delivering high-quality A.I projects.
Our panel will apply this to various computer vision software, which will include, OpenCV, Image Detection Technologies, Video Detection Technologies, 3D, Medical Imaging, Autonomous Driving, and NVIDIA products.
Join the event here: (5 PM GMT)
Itinerary (UK GMT)
5.00 PM – 5:10 PM: Intro
5:10 PM – 5:40 PM: Speaker 1 presentation
5:40 PM – 6:10 PM: Speaker 2 presentation
6:10 PM – 6:40 PM: Speaker 3 presentation
6:40 PM – 7:00 PM: Q&A session
Our Technical Speakers:
– Rodrigo Mallen – Computer Vision Engineer at Auto1
– Junli Tao – Computer Vision and Machine Learning Engineer at Virtual Retail GmbH
– Jan Zawadzki – Head of AI at Car.SW Org
Rodrigo has more than 8 years of experience developing computer vision and deep learning applications for a variety of fields such as security systems, automatic control, damage detection on vehicles, and biomedical engineering among others. He is currently working for Auto1 Group in the area of bodyworks´ Damage Detection for the automation of used cars inspection and evaluation.
About this talk: The importance of Camera and Lens Selection for a Computer Vision Engineer.
Throughout my professional career, I´ve seen an ever-growing interest in the hottest topics of Deep Learning and its approaches to solve a vast variety of computer vision tasks. Nonetheless, a great majority of production-grade applications require dedicated hardware (cameras, lenses, interfaces, and sometimes frame grabbers) to fulfill highly demanding challenges. This is the part where I´ve personally seen a weakness in young Computer Scientists that embrace the Computer Vision world. The main aim of my intervention in this webinar is to provide a set of basic (but truly powerful) concepts that may complement the software skills of many computer vision engineers out there.
Dr. Junli Tao
Dr. Junli Tao is a Computer Vision and Machine Learning Engineer in Virtual Retail GmbH since September 2019. She was with CROWN RTC in New Zealand from November 2015 to August 2019. Junli received her Ph.D. degree in Computer Science from the University of Auckland in 2015. During her Ph.D., she squeezed in an internship at Daimler in 2014. She was a researcher/lecturer at Auckland University of Technology in 2015/2018.
About this talk: From Body Measurement to Picking
This talk will cover the two main projects we do at Virtual Retail GmbH, body measurements and picking control. Our Body Measurement App takes two camera shots and produces body measurements for size recommendation. The Picking Control System assists workers in the packaging process in the warehouse environment.
Jan is the acting Head of Artificial Intelligence at car.SW Org, the central software development company of Volkswagen AG. Jan is passionate about advancing the automotive industry through machine learning and sharing his knowledge in the fields of Business and Data Science. Jan is an experienced public speaker and also a Top Contributor to the “Towards Data Science” Publication on Medium.
About this talk: “The Do’s and Don’ts of Delivering AI Projects” the fundamentals of ideating, evaluating, and scoping AI Projects
We hope you’ll be able to join us for this truly insightful session.