It was a big pleasure for the RSIP Vision team to welcome many of our readers at IMVC 2016, at the David Intercontinental Hotel in Tel Aviv. The 7th Israel Machine Vision Conference and Exhibition on Image Processing, Video and Computer Vision took place on March 16 and was visited by a wide public.
For those of our readers who were not able to attend, we can confirm that the conference hosted high-quality lectures from industry specialists. So, here is what happened this year. Back from IMVC 2016:
We were much impressed by Prof. Amnon Shaashua‘s lecture “What if Our Digital Assistants Had Eyes and Ears?” Prof. Shaashua, co-founder and CTO of Orcam, explained how his company’s wearable personal assistant MyMe was able to tackle two major problems: the technical difficulty of embedding face recognition capability into a small IoT (Internet of Things) device and at the same time the challenge to find an ingenious and creative way to prevent any issues of privacy (like those which devastated the Google Glass project).
Moreover, our own CEO Ron Soferman held his anticipated lecture about “How to Manage a Project in Computer Vision“. You can read the description of the lecture here. Suffice it to say that Mr. Soferman’s intervention was widely acclaimed and received positive feedback also by successive speakers. More conferences on this subject are expected to take place in Israel and overseas. More detailed announcements will follow, including in RSIP Vision website’s News section.
Another lecture worth mentioning was Matan Propper’s from Infinity AR, who was able to show the audience the challenges in augmented reality and give us a feel of what is seen by those who wear the most modern AR glasses. It was interesting to learn about the evolution of those glasses since the first version to today’s offer, more sophisticated though much cheaper.
Other remarked lectures: Google ATAP (Advanced Technology and Projects), relating Google’s new image processing offer with innovative interfaces; and Trax Image Recognition, displaying their modus operandi about how to solve problems arising when working on deep learning and Convolutional Neural Networks.
Tens of other conferences deserved public attention. Even though we spent most of the time welcoming clients, prospects and friends on our booth, the RSIP Vision team was able to follow many of the conferences, some of which we found very enriching and inspirational.
On the exhibition floor, we were particularly impressed by Rafael, Amazon and a nice application from Sizer. All were able to attract many visitors with their products, devices and solutions.