Technion Intel Challenge 2018
With Intel® RealSense™ Technology and More
The Technion and Intel invite you to take part in an innovative final project challenge.
This year’s challenge is focusing on the next generation depth sensing technologies (3D cameras), deep learning techniques and IoT devices. You will have the opportunity to get early access to the latest Intel products on the market and take part in shaping the future.
Let your imagination run wild and your creativity flow and dive deeper into the worlds of: robotics, drones, autonomous navigation, smart homes, scene understanding, VR/AR/MR, HMI, deep learning, and more.
Come and meet us on Sunday, March 19, at 13:00 to experience some of the cool stuff we offer you.
We are eager to see what you will make!
Eligibility: The challenge is open to CS and EE undergraduate students. Individual students or teams of 2-4 students can participate. The goal is to implement a lab project. In order to participate in the challenge, projects must first be approved by one of the CS or EE participating labs. This lab will also assign a mentor for each project.
Challenge Description: This year challenge is focusing on the Intel RealSense Technology, deep learning techniques and IoT devices. The participants are expected to carry out innovative projects, which use this technology in original and creative ways. Projects may take advantage of the cameras in different ways: streaming and analyzing the raw data directly (RGBD and IMU streams); programming with the different software modules; building on top of the development kits; researching and enhancing the collected datasets; generating synthetic data; and more.
HW supply. Intel may assist the applicants by providing different HW devices, such as cameras and development kits. Specific list will be provided based on applicants’ interest and availability.
Project implementation fields.
There is no limitation to the areas in which a project is implemented. On the contrary, it is encouraged to seek for new fields and areas of implementation. Relevant areas include (but are not limited to): robotics, drones, autonomous navigation, smart homes, scene understanding, object recognition, VR/AR/MR, HMI, deep learning.