UEFA Euro Copa América | JHCTECH invites you to enjoy the football feast with AI machine vision solutions
At 3 a.m. on June 15, 2024 (GMT+8), the much-anticipated UEFA Euro opening ceremony was held at the Allianz Arena in Munich, Germany. Meanwhile, the Copa América also officially opened on June 20. In today's era of rapid AI technology development, AI will naturally not be absent from such a grand event.
Human eyes are usually unable to capture and evaluate all the details of sports activities, especially rapid and complex movements. For this reason, state-of-the-art 3D imaging systems are increasingly being used in competitive sports. With AI machine vision technologies specially developed for sports tracking, it is possible to reliably capture and analyze players and sports equipment even at the highest speeds.
Football Goal Line Technology
Goal line technology is a key technology in football games. It uses high-speed cameras and sensors to immediately determine whether the ball has crossed the goal line.
The picture comes from the Internet
In reliable goal line technology in football, AI machine vision continuously monitors the images of each goal captured by 7 cameras. The control software integrates information from all cameras, and the AI machine vision controller performs in-depth analysis of the video and images. Using triangulation (with known camera positions and angles), it provides the precise 3D trajectory of the ball in real time, tracking the ball's position in the goal area at high speed with millimeter-level accuracy. Once the system detects that the ball has crossed the goal line, it immediately sends a signal to the referee's watch.
Player Tracking in Football
The picture comes from the Internet
In the player tracking system, multicast imaging from up to ten cameras and intelligent image processing technology from multiple AI machine vision computers are used to monitor the position coordinates of each player, the football, and the referee at any time during the game. This allows for the calculation of the player's overall running performance, including average and maximum speed, number and intensity of sprints, and running distance.
Our customer, a leading international machine vision technology system company, selected JHCTECH's KMDA-5920 and BRAV-7521 for its machine vision system application.
The KMDA-5920 is a fanless high-performance box computer that uses the H310 chipset and is equipped with Intel® 8th/9th generation Coffee Lake series processors. It features complete I/O functions and dual PCIe expansion slots, supporting graphics cards with a maximum power consumption of 150W, AI acceleration cards, or AI acceleration cards with a power consumption of less than 75W, as well as other functional cards. Its high performance meets the requirements for processing and in-depth analysis of multiple video streams and image information. Robust and stable, with a wide-voltage DC power supply and moderate size, it is very suitable for AI machine vision application scenarios.
BRAV-7521 – Workstation-level edge computing system, featuring Intel® Coffee Lake-R series processors, C246/Q370 chipset, 4*DDR4 2400/2666MHz, dual-channel memory supporting up to 128GB. It includes VGA+2*DP for 3 display interfaces, extensive IO capabilities, and supports 4G, WiFi/BT, and other wireless functions. Equipped with 1*M.2 E-Key and 1*M.2 B-Key supporting 5G wireless networks, it offers multiple PCIe expansions, accommodating up to 2*350W power consumption graphics cards and 2*PCIeX4 to flexibly meet customer requirements. With workstation-level performance, comprehensive functional configuration, rich expansion flexibility, and industrial-grade design, it is the optimal choice for high-precision AI machine vision applications.
Learn More About KMDA-5920-S001 Series
Learn More About BRAV-7521-S001 Series