SkillShow Automates Youth Sports Video with AWS
SkillShow, a youth sports video production leader, tackled the challenge of scaling its operations using Amazon Web Services (AWS). Facing a massive 230 TB of video data annually and a 3-week video editing turnaround time due to reliance on 1100+ contractors, SkillShow sought automation. Initially exploring facial recognition and jersey number detection for player identification within videos, they found audio analysis more reliable. Their solution leverages AWS Lambda for serverless workflow orchestration, Amazon S3 for scalable storage, and Amazon Transcribe for automated speech-to-text conversion of video audio. Announcer commentary, consistently mentioning player numbers and team colors, proved crucial for player identification. The process involves uploading a roster CSV and video; Lambda functions then use Amazon Transcribe to generate a timestamped transcript, which is parsed to identify players. Videos are automatically clipped based on keywords (e.g., “Next”) and uploaded to S3. This automated pipeline reduced processing time from 3 weeks to 24 hours, with accuracy rates exceeding 90% in various events, including those with batting practice footage. The solution addresses challenges of inconsistent video quality and lighting, while offering cost savings and improved scalability. While initial challenges existed with color naming inconsistencies, these were addressed. The system’s adaptability to diverse event types and content makes it a valuable tool for youth sports organizations. SkillShow plans to explore further AI/ML capabilities such as automated highlight generation and real-time processing. For organizations looking for similar solutions, Amazon Bedrock Data Automation offers additional possibilities for automating insights from unstructured data. The SkillShow case study highlights the transformative potential of AWS ML services for automating video processing workflows, reducing manual effort and improving efficiency.
SkillShow’s innovative platform demonstrates how ai automation sports technology can streamline video production and enhance the youth athletics experience.
This innovative approach reflects broader trends where chatgpt automation sports applications are transforming how teams analyze performance and engage with fans.
