In skilled sports activities, the distinction between successful and shedding typically comes all the way down to high-quality margins. Groups throughout the globe are turning to data-driven insights to optimize athlete efficiency, mitigate accidents, and achieve aggressive benefits.
Catapult Sports activities, is a sports activities know-how firm that empowers skilled groups to make data-driven selections. By utilizing AWS IoT companies, Catapult is remodeling how groups acquire, analyze, and act on their information.
Catapult powers the data-driven insights that skilled groups have to optimize athlete well being, cut back accidents, and excel within the science of human motion. With over 500 workers throughout 24 areas worldwide, Catapult serves greater than 5,000 skilled groups in 40+ sports activities throughout 128 nations. This contains prime franchises within the NFL, NHL, and English Premier League.
The problem: Assembly the calls for of elite sports activities
Skilled sports activities groups function in high-pressure environments. They depend on athlete-monitoring know-how that generates real-time insights throughout video games and practices, offering athletes and coaches with worthwhile data to enhance efficiency. To efficiently undertake such know-how, groups have elementary expectations: immediate deployment, seamless updates, distant administration throughout world operations, and 0 tolerance for machine failures or configuration errors throughout vital moments.
As sports activities analytics turns into more and more refined, groups additionally demand quicker entry to new options, enhanced algorithms, and improved capabilities that may ship aggressive benefits. The problem for sports activities know-how suppliers is delivering enterprise-grade reliability whereas sustaining the agility to innovate quickly.
The answer: Vector 8 powered by AWS IoT
To fulfill these demanding necessities, Catapult developed Vector 8, its next-generation athlete monitoring resolution constructed on AWS IoT companies. The Vector 8 suite consists of 4 important elements:
Actual-time efficiency insights
Vector 8 delivers three sorts of information to coaches and sports activities scientists:
- Gadget well being information – Stay telemetry, together with battery standing and acquired sign power indication (RSSI), plus stay machine configuration, corresponding to firmware variations. Transmitted in real-time, enabling proactive intervention earlier than gadgets fail throughout vital moments.
- Sizzling information – Stay in-game or in-practice information sampled at 10 Hz, together with acceleration, velocity, participant positioning, and coronary heart charge monitoring. Coaches see immediate visualizations in iOS apps, enabling in-the-moment interventions, corresponding to substituting fatigued gamers or adjusting ways based mostly on motion patterns.
- Chilly information – Submit-game uncooked inertial information sampled at 100 Hz, used for machine studying (ML) inference to mechanically detect sports-specific actions like jumps, tackles, and throws.
Catapult’s AI-driven analytics can generate 600 distinctive metrics per participant per sport, offering deep insights into athlete efficiency, workload administration, and harm prevention. With the combination with Catapult’s video evaluation options, coaches can align bodily output information with precise sport footage, remodeling how groups analyze and enhance efficiency.
AWS IoT structure
On the coronary heart of Vector 8’s connectivity is AWS IoT Core. AWS IoT Core offers a scalable and extremely out there cloud endpoint for authentication, authorization, encryption in transit, and machine administration at scale. The AWS IoT Core guidelines engine serves as the combination level that routes information from 1000’s of gadgets to the suitable AWS companies over our high-bandwidth, low-latency, sturdy community infrastructure.
AWS IoT Greengrass is the muse of the Vector 8 dock and receiver software program structure. AWS IoT Greengrass offers each an edge runtime and a cloud service that helps Catapult construct, deploy, and handle multi-process IoT purposes at scale. The open-source edge runtime manages Catapult’s customized elements alongside AWS-provided elements, dealing with part versioning, dependency decision, logging, and interprocess communication.
For real-time information streaming, Catapult makes use of Amazon Managed Streaming for Apache Kafka (Amazon MSK) to buffer and course of machine well being telemetry and stay athlete efficiency information. Amazon Elastic Container Service (Amazon ECS) runs containerized analytics companies that course of battery ranges, firmware variations, and different diagnostics in actual time. Outcomes are uncovered by Amazon API Gateway and delivered to Catapult’s internet interface and cell apps, the place coaches and tools managers monitor machine standing.
Submit-game information flows to Amazon Easy Storage Service (Amazon S3), the place uncooked 100 Hz inertial information is saved for machine studying inference. A two-hour session with 30 athletes might be uploaded to Amazon S3 in lower than 30 seconds, representing 36 million information factors from a typical NHL sport.
Key advantages and outcomes with AWS IoT
Seamless onboarding expertise
Vector 8 delivers an out-of-the-box expertise that will get groups up and operating in minutes. As Mike Lee, Principal Product Supervisor at Catapult, explains:
“With Vector 8, clients merely obtain the Catapult Vector iOS app, unbox the {hardware}, and observe a guided in-app registration move, and that’s it. Their full system related, configured, and up to date in lower than 10 minutes.”
Groups can begin monitoring athletes inside minutes of receiving their tools by this streamlined self-service onboarding expertise. No technical assist or advanced setup is required. The automated course of configures gadgets accurately and runs the most recent firmware instantly.
Quick machine updates
Over-the-air (OTA) updates by AWS IoT Greengrass deployments have reworked how Catapult delivers new capabilities to clients. Mike Lee highlights the advance:
“One of many largest sport changers with Vector 8 is how we deal with updates. By shifting to automated OTA updates with AWS IoT Greengrass, we’re in a position to replace gadgets as much as 32 occasions quicker than earlier generations, saving clients an enormous period of time and operational problem.”
By shifting to automated updates delivered by AWS IoT Greengrass deployments, Catapult has achieved a degree of fleet-wide consistency that wasn’t potential with earlier generations. Mike Lee emphasizes the importance of this shift:
“We now have by no means been within the place the place we’ve had virtually your entire wearable machine fleet on the most recent firmware. That’s going to assist us keep away from tons of of assist tickets.”
This near-universal fleet foreign money signifies that all clients profit from the most recent options, efficiency enhancements, and bug fixes mechanically, with no handbook intervention required.
Enabling fast innovation
The dependable, high-performance over-the-air replace functionality has essentially modified how Catapult’s firmware group operates. Mike Lee describes the transformation:
“For the primary time, we will safely push adjustments to gadgets as quickly as they’re prepared. What used to take months to succeed in clients can now be delivered in weeks, and even days, particularly once we’re iterating on new options or operating beta packages.”
This acceleration allows Catapult to iterate rapidly on new options based mostly on buyer suggestions, delivering worth quicker and staying forward of the competitors. The shift from months-long launch cycles to weekly and even day by day releases represents a elementary change in how the corporate innovates.
Proactive machine administration and diagnostics
AWS IoT safe tunneling, coupled with the AWS IoT Greengrass safe tunneling part, allows Catapult’s assist group to supply world-class service. Assist engineers can set up SSH periods to docks and receivers on demand, with no buyer involvement past consent. With the AWS IoT Greengrass log supervisor part, machine logs mechanically move to Amazon CloudWatch in close to real-time, enabling proactive difficulty identification and backbone earlier than clients discover issues.
This distant entry functionality transforms assist operations from reactive troubleshooting to proactive monitoring. Points that beforehand required scheduling buyer appointments and complicated file transfers can now be identified and resolved in minutes.
Clever configuration administration
AWS IoT Gadget Shadows allow Catapult to handle machine configurations from the cloud with out requiring bodily connections. When coaches assign athletes to gadgets or replace efficiency thresholds by Catapult’s cell app, these configuration adjustments mechanically sync to the cloud and propagate to all registered docks. The subsequent time a tag is positioned in any dock, it receives the most recent configuration, guaranteeing consistency throughout your entire machine fleet.
This functionality has eliminated 1000’s of handbook machine staging operations. Substitute gadgets mechanically obtain the proper buyer configuration upon the primary connection, enabling true hot-swap performance that retains groups operational even when {hardware} is changed.
Trying forward
With the muse of cloud connectivity and automatic machine administration in place, Catapult is exploring a number of future improvements:
- Stay information streaming to the cloud – At present, 10 Hz stay information streams solely to sideline iOS apps. Streaming this information to the cloud would allow extra in-game analytics and allow distant entry for coaches and sports activities scientists.
- Edge machine studying inference – Most ML inference presently occurs within the cloud post-game. Catapult is investigating shifting extra inference to the sting, on receivers and even tags, to supply extra real-time insights throughout video games and observe periods. The sturdy OTA replace mechanism allows practically steady iteration and enhancement of deployed fashions.
- AI-powered group analytics – Analyzing team-wide tag information to know group actions, group dynamics, and tactical patterns utilizing superior AI fashions.
- Pure language video search – Utilizing AI, like multimodal embedding fashions, to allow pure language search and understanding of video content material. This helps coaches to search out particular performs or conditions.
Conclusion
Catapult’s Vector 8 platform demonstrates how AWS IoT companies allow sports activities know-how firms to ship enterprise-grade options with consumer-grade simplicity. By reaching 10-minute onboarding, 32x quicker updates, and 97% of the fleet operating the most recent firmware, Catapult has set a brand new commonplace for athlete monitoring know-how.
These enhancements permit Catapult to maneuver past troubleshooting and towards strategic development. Engineering groups can iterate quickly; their assist groups can resolve points extra rapidly; and clients can give attention to what issues most – optimizing athlete efficiency and successful video games.
As skilled sports activities turn out to be more and more data-driven, Catapult’s AWS IoT-powered platform positions them to proceed main the transformation of how groups practice, compete, and succeed.
Study extra
To be taught extra about AWS IoT companies and the way they’ll rework your related machine enterprise, go to aws.amazon.com/iot. To be taught extra about Catapult, go to catapult.com.
To dive deeper into this explicit use case, watch the recording “AWS re:Invent 2025 – Peak Efficiency: IoT Innovation in Skilled Sports activities (SPF301)”.
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