Chameleon on head news of Forbes.hu2017. 03. 17.
Innovation distinguishes between a leader and a follower. Steve Jobs
Diagon Ltd. have been entrusted us to develop red and white blood cell detection procedures as well as classifier procedures to their hemocular blood smear analytic device.
Our results are over-performing the state of the art classification plates. We are using most advanced GPU optimized Deep Learning technologies to achieve these results.
From 5:20 in the following video
This is the
50th time CES is organised in Las Vegas on 5-8 January 2017. Organisers expect 3,800
exhibitors and around 165,000 visitors. This year, Hungary will be represented
by 4 companies, including Chameleon, in the largest tech show of the world.
took our Chameleon Smart Home system to the Slush festival in Helsinki with the
support of the Hungarian National Trading House. Slush is the largest tech
conference of the Scandinavian region with more than 10,000 participants.
official launch of the Chameleon Smart Home system, where the founders
introduced the system and answered all the technical questions raised, was a
great success. Real estate investors, electricians and end-users also visited
there in the IoT World conference in Dublin with our project Chameleon.
than 3 years of development and 1.5 years of beta testing, the commercial trade
of the system could start. We have also completed our website, www.chameleon-smarthome.com, where you can order our new
building automation system.
An American tech blog portal (TechCranch) published an article about us. We also got a detailed review in DPReview, one of the biggest photography portals. The articles brought a total of 3000 registrations for the program.
American subsidiary of IGNIS Computer Kft has been set up in Austin. The main
goal of the company is to sell the software and hardware development expertise
we obtained in Hungary.
The program is now commercially available, the packages are on the website and can be purchased from now on.
us for a six months US Accelerator program. Apart from providing financial
support for Picturesqe, the program will also help our launch in the US market.
The program faced the team with a great challenge: we started developing the
Picturesqe had a featured place in the biggest autumn show of the community of Hungarian photographers. Apart from being an exhibitor, we also participated in the implementation of the event as organisers. We set up a photo corner in one of the function rooms where photographers could select photos with the help of Picturesqe. We managed to collect another 800 registrations in the event.
It was a great
pleasure for us that International Accelerator invited us to the United States
to introduce our products. We spent a week in Austin, the new startup capital
of the US.
We won a
training for submitting European Union H2020 applications and we designed a
global marketing strategy for our products within the program.
companies were selected out of 1500 applicants invited to a startup competition
in Turkey. During our one-week stay, we managed to get into the best 50
companies. The 12 best companies that were presented in a big stage and could
address an audience of thousands were selected in the second round. Picturesqe
made it to the finals as the only
Beta version of Picturesqe was presented in PhotoExpo, one of the biggest photography events in Hungary. 600 beta testers joined our system which was a great success among photographers.
We have developed a new visual interface for web designers and website owners that makes sending user feedback from website much easier.http://debugme.eu/
A research and development project aimed at providing a global solution for the selection of a constantly increasing number of photos has been started. We’ve all been there: you come home from your holiday with thousands of photos on your memory card, many of them in duplicates, waiting to be selected. It would be nice to show them to friends but who is going to look at 2000 pictures? This is where Picturesqe comes into the picture and helps the selection of photos with artificial intelligence.