Problem How to improve efficiency in product monitoring and inspection by deploying Computer Vision solutions Solution Computer Vision (CV), a field of artificial intelligence which uses machine and deep learning to allow computers to "see" and analyze their surroundings, is now used in various industries such as retail, manufacturing and agriculture. Implementing the SINTRONES EBOX-7000 within a Computer Vision (CV) solution improves the efficiency of product monitoring and detects defects, contaminants, functional flaws, and other irregularities. It is best used in instances where the human eye is required to assess the ground situation. The images captured by the solution are transmitted via 5G/LTE or the wireless network to the SINTORONES EBOX-7000 for thorough analysis. The SINTORONES EBOX-7000 supports both Edge and Cloud Computing frameworks to provide image-based automatic product monitoring and inspection competencies while adhering to the user’s budget and requirements. Furthermore, the solution can be used as part of quality control systems in production lines. Benefit The SINTRONES Computer Vision Solution encompasses superior and accurate visual detection capabilities that supersedes the need for human vision in the identification of irregularities in any environment. The advanced algorithms of the SINTRONES EBOX-7000 also eliminates mistakes caused by human error (such as fatigue), saves time and cuts costs significantly. The solution is also applicable in conducting internal and external assessments of various equipment in a production facility, such as storage tanks, piping, and other equipment.

SINTRONES, a global leader in computing technology for in-vehicle applications, announces the launch of the new ABOX-5210G Series with NVIDIA® Quadro® RTX 3000 GPU. The series exhibits a superior range of fanless computers that offer Edge AI GPU Computing capabilities for applications that necessitate real-time, low latency and secure computing at the local level. SINTRONES Edge AI fanless computers can be deployed to comprehensively support Artificial Intelligence of Things (AIoT) in smart city infrastructures and Intelligent Internet of Things (IIoT) in transportation systems. Powerful Intel® Core™ and NVIDIA® GPU Accelerates AI Deep Learning Performance The computer is powered by Intel® Gen 10th 10 Cores™ Xeon®, designed for high performance computing and NVIDIA® Quadro® RTX 3000 GPU, to satisfy the most demanding GPU computing needs. Paired together, the technology delivers a powerful platform that accelerates AI deep learning performance in applications on the Edge. Embedded with 1920 CUDA cores and 240 Tensor cores, the computer boasts a superior GPU specification amongst its fanless computer peers. Longevity support from NVIDIA® is also included. Application: AIoT in Smart City Infrastructures The ABOX-5210G Series fanless computers can be used in AIoT applications within smart city solutions - playing a fundamental role in transforming the way cities operate. With its AI inference capabilities and a rugged design, the computer is well equipped to support various applications, such as surveillance security, traffic flow analysis, smart parking, and autonomous vehicle operations. Application: IIoT in Transportation Systems The new release provides the foundation to build operating systems such as fleet management and passenger information systems for public transport services. The ABOX-5210G Series facilitates real time data processing and a quick response system, ensuring the smooth flow of operations in the best interests of the public community. Elevate your Edge AI Computing systems with SINTRONES solutions today. ABOX-5210G6 : https://www.sintrones.com/ABOX-5210G6.html ABOX-5210G6-M12X : https://www.sintrones.com/ABOX-5210G6-M12X.html Other Key Features: 8 x DI, and 4 x DO and 3 x RS-232/422/485 1 x M.2 B key, 1 x M.2 A-E key & 3 x MiniPCIe expansion slots Dual Hot Swappable SATA Storage RAID 0,1,5 9-48V DC Input and Operating Temp.: -40~60°C 10 x GbE RJ45 (Optional 8 x PoE and 8 x M12 X coded connectors) Rolling Stock EN 50155 and EN 50121-3-2 certified