endorsedOngoing

Computer Vision Sports Performance Platform

Services Covered:

Custom Software Development

Industry

Information Technology

Duration

82 months

Budget

10K - 49K

Start Date

1 October 2019

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

71/100

Good

Project Capability Score (PCS) estimates how capable Requestum is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

Atlanta, United States of America

Project Summary

Requestum developed a computer-vision-based sports performance tool, building proprietary algorithms to calculate player metrics and designing the consumer-facing UI. The platform had a soft launch that increased the project's Twitter following by 26% and generated interest from coaches, investors, and potential partners. The client praised Requestum’s professionalism, responsiveness, and project management.

Key Challenges

Develop a tool to calculate advanced performance metrics using computer vision
Build an initial proof of concept to validate the approach
Improve sophistication and accuracy of computer vision algorithms while accelerating time-to-market

Project Deliverables

Proprietary computer vision performance algorithms
Additional player metric algorithms
Consumer-facing UI / design
Proof of concept and incremental algorithm enhancements

Project Solution

Requestum developed proprietary computer-vision algorithms to calculate player performance across high school, college, and professional American football levels, implemented additional player-metric algorithms, and designed the consumer-facing UI. The team implemented these solutions using Python and delivered an initial proof of concept before taking on additional assignments. The vendor engaged via a project manager and a small development team (3–4 developers, including a senior developer), with ongoing collaboration through project and senior project managers.

Project Outcome

Increased platform Twitter following by 26% after a soft launch
Attracted attention from two head football coaches at a showcase
Engaged two potential investors and initiated follow-up discussions
Secured interest from three companies about partnerships
Featured by the Sports Innovation Society and highlighted as innovative in the industry
Positive feedback on project management, professionalism, and responsiveness

Platforms

AI/ML Platform

Tech Stack

Python

Client Endorsement

Overall Review Rating

4.88

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“After a soft launch, the platform saw an increase in following and attention from potential investors. Their work has showcased the platform as a groundbreaking feature within the marketplace. Requestum’s professional team delivers an innovative skillset. Clients can expect a strategic partnership.”
Cory Yates
CEO
Date: 02/12/2020