Raise your hands in the air: The winner of Intel’s perceptual computing Hackathon is…
Move the world with a wave of your hand, a computer that knows how to track your face even while you’re moving and a completely new meaning for the concept of wind instruments. Israel’s best programmers in perceptual computing came together to develop some really cool projects in under 48 hours. All details, including winners and demo follow:
This past Wednesday and Thursday Intel held its first Perceptual Computing Hackathon at their development center in Matam Park, Haifa. The event revolved around one of the hottest topics in computing today, namely the AI ability to analyze images, gestures and voice commands in order to control hardware or software applications in ways that are bringing the concepts of science fiction to life.
The event brought together developers and designers from all over the country with different expertise to join forces with Intel’s Perceptual Computing staff, including former employees of Intel acquired Invision and Omek Interactive who helped various teams work their way around the Hackathon’s Perceptual Computing SDK and their three-dimensional camera.
The applications developed by the teams had to reflect the capabilities of the camera (which has yet to be released to the public but which has been provided to software developers around the world) in an original and unique way, with the aim of the event being to encourage companies and software developers to jump into the field of Perceptual Computing. Given the many restrictions, including the short time allocated to competitors, The results were pretty satisfying. Here they are in brief:
The Projects (Video’s are in Hebrew but you get the gist from the presentations)
Assaf Shelly – (Camera Crew)
A plugin that turns the camera into a user’s personal photographer. The camera auto tracks a user’s face and adjust to the picture for them with zoom, lighting and other parameters to keep them in focus.
Shachar Shokron – (Perceptual Google Earth)
Combined the Google Earth API to Intel’s SDK and developed an app that allows users to control Google Earth using hand gestures and voice commands only.
Guy Dubrovsky, Uri Goren and Eli Nissim – (Date Game)
The team used two cameras to develop an application that analyzes user’s facial expressions and body language to coach them on what they need to adjust in order to be more appealing to their date.
Gal Tzobry, Damien Munpo, Hassan Abu-Sha’ali Jonathan Schipper – (SignIt)
The team used Intel’s SDK to develop a system that identifies the user’s hand movements (including depth dimension) to login to systems from home or through the Web via a three-dimensional model.
Daniel Simon, Or Ofer and Ilya Galizrin – (Creative Rating)
The team decided to take social feedback conceptual gestures and make them real gestures; such as Like, Unlike, add clip to Favorites and other functions.
Danny Weinstein, Amir Avni, Ross Connick and Yotam Peled – (PhysNII)
The team built an Arduino device that uses a motorized swivel that directs a computer screen to follow and orient itself according the movements and position of the user.
Jonathan Abramson, Sivan Greenberg, Ben Weiss and Drorit Erel – (Your Hand Music)
The team developed an application which generates music based on a user’s hand movements.The app also takes into account depth and speed, and can produce smart rhythms for background music.
Elroy Dayan and Barack Nuremberg – (StarWriter)
The team developed an app to teach younger age children how to write and proper handwriting technique.
Tzophia Nagar, Yuanda Lee and Maria Ortzki – (Event Registration)
The team worked on the idea of a camera for auto event Check In and registration.
Simon Dudkin – (Registration PowerPoint)
Dudkin developed a simple and intuitive application designed to control PowerPoint using hand gestures.
Simon Dudkin and Yossi Cohen – (Perceptual DJ)
The team developed an application designed to control DJ software via hand gestures. Control DJ effects and switch between songs – all through hand gestures.
Gadi Gomes and Yuval Barvah – (Mimicit)
The team developed a game called Mimicit which aims to animated movement for gaming.
Yair Yitzchaik and Ohad Shani – (Blender)
The team developed a three-dimensional software Blender that allows users to design three-dimensional models using hand gestures only.
Yaniv Gershoni and Sergei Zolotinsky – (Virtual Keyboard)
The team built a gesture based virtual keyboard.
In third place were two teams: PhysNII and Perceptual Earth. All approved teams took home with them Intel’s traffic cameras and can continue to develop the applications of tomorrow with the Intel’s SDK.
The second place team was Mimicit who won tablets for their members. The team leader won a 4th generation Intel powered laptop.
First place went to the team of Your Hand Music – all members of the winning team won ultrabooks based on Intel processors and the team leader will fly to Silicon Valley along with the president of Intel Israel, Molly Eden, to view Intel’s latest developments in Perceptual Computing from their home town.
Till next year’s Hackathon…