Shopping just got easier thanks to this EE student project
Students Ohad Rusnak and Omri Elamalech recently developed an autonomous Kinect-tracking shopping cart as a part of their undergraduate project in the Control, Robotics and Machine Learning (CRML) lab at the Technion EE department.
The project, supervised by Kobi Kohai, consisted of building a full size robotic cart that uses a laptop and depth camera (Kinect) for real-time human tracking. The idea for the project came from Ohad and Omri’s supermarket shopping experience – they invented a cart that identifies its owner and follows him around the supermarket, while avoiding obstacles.
The core of the system is a learning-based identification and tracking algorithm, developed by the students. The algorithm enables the cart to “lock on” to a single person and follow him without being led astray by other customers.
A demo of the project can be viewed through the following link:
The project recently received considerable media attention, including an article in the Jerusalem Post: