Orange Lion Sports Unveils Smartshot 2.0 for Tennis

Sep 15, 2026
Smartshot 2.0 combines electronic line calling, automated broadcasting, AI commentary, tournament management and an interactive ball machine.
Orange Lion Sports Unveils Smartshot 2.0 for Tennis
Image: Orange Lion Sports via PR Newswire , Orange Lion Sports via PR Newswire

Orange Lion Sports unveiled Smartshot 2.0 at the 2026 China International Fair for Trade in Services in Beijing, the company said in a press release. The event ran from September 9 to 13.

The system includes electronic line calling with six Hawk-Eye cameras, automated directing, AI commentary and a voice interactive ball machine. It displays instant in or out decisions on a large screen and can announce calls at an adjustable volume.

Smartshot 2.0 also includes an AI Tournament Assistant built with the Tongyi Qwen large language model from Alibaba Group, which founded Orange Lion Sports. The assistant accepts natural language instructions and reads tournament rules from PDF files to support registration and scheduling.

Orange Lion Sports says Smartshot costs one tenth as much as comparable systems and has been deployed on more than 500 courts, including installations in Europe, Australia, Hong Kong and Taiwan.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Daily AI Brief.

Also, consider following us on social media:

Stefan Hof AI in Sports AI Brief AI Brief (X)
Free newsletter

Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

Guide
AI app builders

AI app builders

Tools that turn a description into a working web or mobile app, and the platforms companies use to build internal tools with AI

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.