This project is a first stage in development of an autonomic robot for picking up litter left in nature.
SYSTEMS
-
-
Anti-spoofing by using a dual camera system to capture image depth from two different angles -
Multi-rotor DJI F450 drone for 3D mapping and reconstruction -
Control a single drone using a ground stereo camera system -
Autonomous drone localization and navigation from ground station camera -
Perform autonomous object tracking with hacked Nano Drone -
Application for deaf people and security guard assistant application -
Students are invited to take part in Technion's Formula team and develop a driverless formula vehicle. -
Students will build COFFEEBOT: a robot capable of delivering coffee from the 'Greg' coffee shop. -
A system for gait analysis for medical diagnosis will be developed using several Kinekt cameras. -
Student will develop applications on Microsoft Hololense AR glasses -
Students will learn and implement a method for eye tracking with RGB camera. -
New project proposal: Build a junction control system based on Raspberry Pi and cloud services and known algorithms. -
Due to new threats a navigating tunnel mapping system is required -
In the project, we will build an exhibition for the illusion of a three dimension in an interactive way. -
Analyze a Backgammon Game Board State from an RGB Image Create an Android App Create an easy-to-use wrapper for the GNU-BG algorithm Get Hands-On Experience Creating Image Process Algorithms -
Traffic collision cost the life of hundreds per year, if you do not include the wounded. There are many roads which not contain traffic lights, despite considered dangerous for pedestrian. The main goal of this project is to develop a real-time system which warns when pedestrian approach or crossing the road, moreover we tried to implement the system on portable device in order to be stationed in junctions with no...