Creators

Arisht Jain, Mechanical And Biomedical Engineering 

Srinivas Sivakumar, Electronic Engineering 

Deepanshu Kalra, Mechanical And Biomedical Engineering 

Jayanth Harilela, Mechanical And Biomedical Engineering 

Rohit Shyla Kumar, School of Creative Media 

About the Work

Sport was always meant to bring people together by knocking down barriers. Today, the greatest barrier that still exists in sport is that of inclusion of those who are physically impaired. When it comes to bowling, an association in Hong Kong known as the Hong Kong Blind Sports Federation helps visually impaired bowlers play in public bowling alleys through personnel that tell them things they need to know while playing, such as how many pins remain and which pins have already fallen. However, this means they cannot practice on their own without help from others. Thus, we aim to fill this caveat to enable these players to showcase their talents, by: implementing a pin detection algorithm which can output to a mobile application with audio feedback for the user, and create a permanent frame system for the system which the users may take to the bowling alley on the day of practice.

Mechanism

Our algorithm uses a field of computer science called image processing to make deductions based on a live video feed from a camera color and position of the pins in a bowling lane. The frame uses aluminium rods for the basic structure and is enhanced in functionality by the 3D printed mounts for the device itself. Also, a pocket is available for easy storage of the power source. The frame incorporates a handle/ lever system to tighten and loosen the camera housing. The design goal was to make the frame as user-friendly as possible.