Idea Details

Team and Contact Details

SNo Student Name School Degree Year Email
1Muhammad Ahsan FahimSEECSUndergraduateFourthmfahim.bscs15seecs@seecs.edu.pk
1Muhammad Fahad ZiaSEECSUndergraduateFourthmzia.bscs15seecs@seecs.edu.pk
1Hassan RasheedSEECSUndergraduateFourthhrasheed.bscs15seecs@seecs.edu.pk
1Minahil AshfaqSEECSUndergraduateFourthmashfaq.bscs15seecs@seecs.edu.pk

Inter School Idea ? No
Do you need expertises from another area: No
If Yes please provide details of expertises you need:

Idea Details

Idea Name: Deep Cricket
Slogan: Train well!
Supervisor Name: Taufique Ur Rehman
Supervisor Designation: RVF
Supervisor School: SEECS
Supervisor Department: CS
Contact number: +923328544134
Email ID: taufique.rehman@seecs.edu.pk
Abstract:
    Deep Cricket is a global solution that helps cricketers analyze their motions and performances using just their smart phones.
What is the unmet need in society that your idea will fulfill ?
    Cricketers are banned all over the world for illegal bowling actions and the later the action is tested the harder it is for them to change it. Our idea provides a cost-effective solution to check bowlers actions using a smart phone and fix it early on without the need for expensive tests.
Who needs it ? How many would benefit ?
   We have seen many Pakistani players get banned, who never truly recovered. The problem must be identified early on and by providing access to analysis on a smartphone for every individual cricketer all over the world, we ensure that future issues are prevented and cricketers have successful careers.
How will the solution works
    It involves a combination of Computer Vision and Machine Learning for accurate pose estimation in real time. This is then used to calculate features such as boeling angle, bowling speed etc. from the feed by any smart phone camera. Based on these features and standard ICC laws, the output would then be whether or not the action of the bowler is legal. It can also provide real time analysis for amateur bowlers involving bowling speed etc.
Who are your competitors ? How is your solution different
    Their are no such solutions at this level that involves computer vision. For example, CricFlex is a famous NUST startup which does the same thing using a sleeve and sensors placed on the arm. However, this is bulky and expensive comapred to the use of just a smart phone camera.
Status: Approved
Entry Date & Time: 2019-01-15 (1806)