In the industrial field, energy efficiency is a key factor. Based on utilization and demand, supply and maintenance have become critical aspects. To address this, energy consumption monitoring and analysis by region are required. JHCTECH offers the ECC-U5000 energy controller, equipped with Intel® Elkhart Lake Soc CPU, for this solution. On the one hand, it directly handles data collection and analysis for the energy monitoring system, while on the other hand, it also monitors faults and anomalies during operation, playing a critical role in promptly protecting equipment and ensuring safety.

2024 is also known as the first year of humanoid robot commercialization. Humanoid robots are the result of a deep integration of artificial intelligence and robotics technologies. They can freely enter and exit various environments without being limited by scenarios or regions and are equipped with brains capable of thinking. Humanoid robots integrate advanced technologies such as artificial intelligence, high-end manufacturing, and new materials, and are expected to become a disruptive innovation following computers, smartphones, and new energy vehicles, leading to a leap in productivity.

The BRAV-7131 AI edge computing controller is developed and designed based on NVIDIA Jetson AGX Orin 64GB, with an AI computing power of up to 275 TOPS. Its efficient AI performance meets the requirements of algorithms such as spatial fusion and multimodality, enabling it to complete a large number of high-performance, high-precision target recognition, image processing and analysis tasks in a short time. This greatly enhances the perception and decision-making capabilities of humanoid robot controllers.

It has a rich IO interface to meet the functional requirements of humanoid robots: multiple LAN ports support peripherals such as servo control and machine vision; independent CAN communication satisfies the communication needs for high reliability, such as automatic charging; and multiple USB 3.0 and above interfaces meet the needs of high-speed transmission, effectively completing the control and interaction of humanoid robots.

At present, the scale of the artificial intelligence market is continuously expanding. From the perspective of market development, AI technologies such as machine learning and AI machine vision are being deeply applied across various industries, promoting the implementation of a large number of intelligent scenarios such as smart cities, smart healthcare, and smart manufacturing. Examples include urban smart transportation systems, AI-driven medical inspections, AGV/AMR, industrial robots, etc., helping to improve the digitalization, automation, and intelligence levels of various industries. These applications help achieve better cost reduction and efficiency improvement and accelerate the move toward an intelligent society.

JHCTECH keeps up with the development trend and gradually increases its investment in the research and development of embedded products. To meet the requirements of various AI fields, including low power consumption, high energy efficiency, high scalability, high reliability, and high security, JHCTECH has launched a new embedded motherboard MITX-I984 based on Intel® 12th/13th generation Alder Lake-S/Raptor Lake-S LGA1700 series processors.

Travel is an important part of people’s lives, and with the continuous expansion of subway networks, the subway has gradually become the preferred mode of transportation. The traditional manual ticketing and inspection methods can no longer meet the massive and efficient travel demands of the public. Therefore, the application of an Automatic Fare Collection (AFC) System in urban rail transit is of great significance. Based on the continuous innovation and iteration of the AFC System, it is particularly necessary to design a new AFC dedicated controller that meets the requirements of innovation and environmental requirements. To this end, JHCTECH has developed the AFC System controller SIGM-2660/2661 for the rail transit industry based on the Intel® Elkhart Lake Soc J6412 CPU to help the construction of smart city rail transit.

The SIGM-2660 is a fanless rugged in-vehicle computer powered by an Intel® Elkhart lake SoC processor. Single-channel DDR4 3200MHz, memory up to 32GB. Power input DC 9~36V wide voltage power supply, suitable for rail AFC and rail screen door industry applications.

The shipboard comprehensive monitoring system integrates radar, AIS, CCTV, GPS, and other detection technologies, along with highly integrated real-time situational awareness and cognitive technologies, to effectively monitor the vessel and vessels within the vicinity. It extends the supervision range of shore-based monitoring centers, ensuring navigational safety and providing various technical means for maritime safety management authorities to achieve shore-based controllable data communication and dynamic data acquisition.

In the process of railway freight transportation, timely detection of abnormal issues such as over-limit, over-biased, and overloaded goods, and identifying vehicles with such goods is crucial for ensuring driving safety. It is one of the effective measures to ensure safe driving. Abnormal cargo loading is a significant cause of railway transportation accidents. Therefore, real-time dynamic monitoring of the loading status of freight cars is a vital means to ensure their safe operation.

In this system, PADR-S501 realizes intelligent recognition and voice warning of nine major types of cargo inspection issues, such as cargo loading reinforcement, door and window cover valve closure, tarpaulin covering, container transportation, and sealing. It outputs the inspection results in real-time, automatically generates inspection reports, and performs other operating steps.

With the rapid development of artificial intelligence, technological breakthroughs, and the expanding scope of applications, medical robots represent the deepening application of AI in the medical field. These robots can effectively assist doctors in performing a range of medical diagnoses and auxiliary treatments, thereby alleviating the strain on medical resources and promoting the development of medical informatization.

In the context of vigorously developing intelligent manufacturing, the new generation of information technology with AI as the core is accelerating its integration in the industrial field. Machine vision is one of the typical applications of AI technology in industry.JHCTECH adheres to the strategic goal of "Scenarios empower product innovation" and has been committed to providing product solutions that meet scenario needs for users in multiple industries. The machine vision dedicated controller KMDA-5611/6611 came into being.

KMDA-5611/6611 is a high-performance box PC. KMDA-5611 adopts H310 chipset and is equipped with Intel® 8th/9th generation Coffee Lake series processors; KMDA-6611 adopts H420E chipset and is equipped with Intel® 10th generation Comet Lake series processors. It has rich IO functions and a moderate size, suitable for industries and fields such as machine vision and industrial control.

In early summer in June, the Shenzhen-Zhongshan Link has broken through the clouds and the sea, surging through the waves. “The Shenzhen-Zhongshan Link is a demonstration project for China to promote the ‘Safe Centennial Quality Project’, a landmark project representing China’s national image, and a major benchmark project to support China’s goal of becoming a ‘transportation powerhouse’.” It was officially opened to traffic on June 30, successfully realizing a half-hour drive from Shenzhen to Zhongshan.

The toll collection brought about by the successful opening of the Shenzhen-Zhongshan Link is also of top priority. As cars drive westward from the Shenzhen side, the first exit on the west bank, Cuiheng East Station in Guangdong, is also opened to traffic at the same time as the Shenzhen-Zhongshan Link. JHCTECH is honored to provide high-performance lane controllers for the toll station, creating an efficient toll collection environment for the Shenzhen-Zhongshan Link.

Featuring excellent performance, efficient computing power, and flexible scalability, JHCTECH’s Intelligent Control System (ICS) is custom-designed for applications such as artificial intelligence, virtualization, cloud computing, big data processing, and distributed storage. It helps application scenarios easily overcome the challenges of data processing and analysis, promoting the rapid development of artificial intelligence technology.

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. At the same time, Copa América also officially opened on June 20. In today's era of rapid development of AI technology, AI will naturally not be absent from such a grand event. Our customer, a leading international machine vision technology system company, selected JHCTECH's KMDA-5920 and BRAV-7521 for its machine vision system application.

As the modern food processing industry develops, the requirements for packaging speed and quality are constantly increasing. For food packaging, downtime can lead to production losses. A food packaging machinery solutions provider in Europe approached us, hoping that JHCTECH could find a stable industrial computer capable of uninterrupted operation. In response to the customer's needs, we selected the KMDA-2630, which is robust and stable, ensuring efficient food packaging processes and preventing downtime.

In recent years, the intelligent driving industry has been booming. For intelligent driving vehicles that have been developed, comprehensive testing is required before they can be commercially produced to ensure the safety of users' lives and property. Direct road testing of test vehicles will face various problems such as safety, economy, site reliability, scene diversity, and cycle time. Virtual simulation testing can only serve as auxiliary verification, and the test results are not ideal. Therefore, there is an urgent need for a ground truth system for intelligent driving and ADAS testing to ensure the authenticity and effectiveness of the tests and assist test personnel in evaluating test vehicles. The vehicle-mounted ground truth system is a data acquisition system composed of millimeter-wave radar, lidar, high-precision inertial navigation, and other vehicle-mounted sensors plus efficient data recording equipment. The vehicle-mounted solution deployed lidar, millimeter-wave radar, vehicle-mounted cameras, PTP time synchronization module, RTK inertial navigation, and vehicle-mounted Ethernet switches. JHCTECH's BRAV-7721-WP undertakes important tasks such as recording vehicle sensor data, real-time data playback, and data verification.

With the rapid development of China's new energy industry and the continuous deepening of the energy revolution, energy storage, as a key support for future energy system development, has gradually become a focus of attention from all parties. Energy storage will be a key technology affecting the future energy landscape, with great significance for the safe, stable, and efficient operation of energy systems, improving the comprehensive utilization efficiency of energy, promoting the development of new energy industries, and driving energy strategic transformation. Energy Management System (EMS) is a crucial intelligent technology in the new energy storage industry, mainly responsible for optimizing the safe dispatch of energy.