THE BOTENDER PROJECT


Our History and Mission

Our original scenario is as follows. The robotic bartender uses its Xbox Kinect® sensor to first check the shape of a patron’s presented ID. If the ID is horizontal it skips the next step; however a vertical ID prompts the robot to scan the text on the ID to make sure the Birthdate, DOB, or Date of Birth qualifies the person as 21. Should they pass this test or skip it, the next step is for the robot to scan the image on the ID and use facial mapping to match it to the person holding the ID. Having successfully determined the person to be both 21 and themselves, the robot grabs them an alcoholic beverage, found using QR recognition. Should any of these tests have failed, the person is presented instead with a soda.

The second iteration of our scenario simplified things greatly. We hired an unpaid intern to serve as the “robotic arm” and place the drink (still designated by the robot) into a beer koozy conveniently attached to the robot’s chassis. Shape recognition was dropped at this stage because of lack of APIs or existence in general. This incarnation also proved to be too idealistic. Fortunately for us, this isn’t even our final form!

Our Botender can scan the ID’s of patrons in its beverage-serving establishment environment. It does this by aiming a USB-enabled scanner device at the “barcode” on the back of USA Drivers’ Licenses. It can read the pdf417 data stored on the back of a license to determine whether or not the owner is of legal drinking age. It then looks at the front of the license, maps the face in the image, and attempts to match it to the face of the person presenting the ID.

After these tests have occurred, the robot will decide what drink to bring to the patron. Using QR identification with its Xbox Kinect, the Botender will approach the appropriate drink’s loading area. Our intern will load the drink into the handy, chassis-mounted receptacle, and the Botender will return the drink to the waiting patron.

Updates

About Us

We are a team of four CSC Students at Cornell College in Mount Vernon, IA: Kent, Shang, Shafer, and Alex. Our robotics class project is the Botender, made using ROS and Turtlebots.