In professional mobile and embedded platforms, powerful graphics processing capabilities are essential to supporting a wide range of high-performance applications. Today, we are proud to introduce the Arc A750E ECM 16G MXM GPU—a high-performance GPU solution purpose-built for demanding industrial environments and professional application scenarios. More than a technological leap, it is a reliable partner that helps you unlock a new vision.

In traditional agricultural production, assessments of crop growth have long relied on manual observation and individual experience. However, this approach faces two major challenges. On one hand, human observation is limited in its ability to detect subtle changes in crop conditions, making it difficult to accurately assess soil moisture levels or identify early signs of pests and diseases. On the other hand, while smart agriculture technologies continue to advance, large-scale intelligent systems often come with price tags reaching hundreds of thousands, placing them beyond the reach of most small and medium-sized farms.

How can farmers overcome the challenges of inaccurate experience-based judgments and prohibitively expensive smart equipment within a limited budget? JHCTECH’s AI edge computing system, BRAV-7120, is emerging as the “intelligent brain” of next-generation farmland monitoring stations. With its strong computing performance and efficient power consumption, BRAV-7120 brings professional-grade agricultural monitoring capabilities directly to the field.

With the ever-growing demand for intelligent computing, high-performance graphics processing has become a core driver of industry innovation. JHCTECH is now officially launching the Arc A750E ECM 16G MXM GPU, a high-performance graphics module built on the Intel® Arc™ A750E embedded GPU. It is purpose-designed for demanding application scenarios such as intelligent transportation, machine vision, and medical imaging.

In humid, dusty, and highly corrosive industrial environments such as food processing, port shipping, and chemical and pharmaceutical industries, traditional electronic devices often face severe challenges. JHCTECH now introduces the WPPC-H1520T(P) Industrial Waterproof Panel PC, engineered with a stainless-steel chassis, IP66/IP69K high-level protection, a fully laminated touchscreen, and a high-performance Intel platform to deliver a reliable and intelligent interaction solution for industrial applications.

In the era of industrial intelligence, the performance of embedded controllers determines the system’s overall responsiveness, energy efficiency, and AI computing capability. JHCTECH’s newly released KMDA-3306 and KMDA-3307 compact embedded controllers not only deliver breakthroughs in product design but also bring a major leap forward in processing performance.

This article takes an in-depth look at the differences between the two models and, more importantly, explains how the Intel® Core™ Ultra 5 125U/225U processors they adopt outperform the Intel 13th-generation RPL-U platform.

With the rapid development of edge computing, how to efficiently and securely manage massive distributed devices has become a key focus of the industry. JHCTECH's latest Edge BMC remote management module, ECB-327, was designed to address this pain point! Even more excitingly, it has been successfully integrated into our BRAV-7722 high-performance AI edge computing system, injecting new momentum into intelligent edge operation and maintenance.

With the increasing density of urban rail transit networks and the continuous increase in operational load, the health status of track facilities directly affects the operational safety and efficiency of the entire line. The traditional Operation and Maintenance (O&M) model, relying on manual inspections and post-event analysis, is no longer sufficient to meet the safety requirements of modern subway operations in terms of real-time performance, accuracy, and coverage frequency. Against this backdrop, the industry is actively leveraging cutting-edge technologies such as artificial intelligence (AI), the Internet of Things (IoT), and edge computing to drive the evolution of Operations and Maintenance (O&M) Systems for Facilities towards a smarter approach characterized by "real-time perception, intelligent diagnosis, and proactive early warning." This aims to achieve full-process dynamic monitoring and precise control of track conditions. JHCTECH's BRAV-7131 is a high-performance edge computer equipped with an NVIDIA Jetson AGX Orin module, boasting up to 275 TOPS of AI computing power. Its powerful capabilities perfectly meet the stringent requirements of onboard intelligent inspection systems for rail transit.

To enhance public service efficiency, optimize passenger experiences, and reduce operating costs, Malaysia is actively advancing smart city development and digital transformation. Self-service kiosks are being rapidly deployed in public areas such as government service halls, international airports, and smart parking facilities. However, the country’s typical tropical climate poses significant challenges to hardware systems. High temperatures and humidity, the need for continuous operation, and diverse peripheral connectivity requirements all demand a high-performance and highly reliable computing platform. To meet the stringent application requirements of self-service terminals in Malaysia, JHCTECH provides the KMDA-7610 and CNTI-R351 product solutions based on x86 and ARM architectures, providing customers with flexible choices.

Driven by Industry 4.0 and smart manufacturing, machine vision technology is becoming a core tool for quality control in modern manufacturing. In particular, the automotive parts industry demands extremely high precision in product appearance and dimensional accuracy. As a key component of a vehicle’s driving system, the automotive wheel hub directly affects driving safety and user experience through its surface quality, dimensional precision, and structural integrity. Traditional manual inspection methods are inefficient, prone to fatigue, and highly subjective, making them difficult to meet the demands of large-scale, highly consistent production. The AI-based machine vision system can achieve automated, non-contact, high-precision real-time detection, greatly improving production efficiency and quality control levels. JHCTECH’s BRAV-7120 embedded AI edge computing system was selected as the ideal solution for intelligent appearance inspection on the automotive wheel production line.

With the continuous advancement of smart customs construction, customs supervision equipment is rapidly evolving towards intelligent, efficient, and unmanned operations. Intelligent gates, self-service declaration machines, and self-service tax payment machines have become indispensable components of modern ports. These devices must possess high performance, high stability, multi-interface expansion capabilities, and the ability to adapt to complex environments to meet the needs of 24/7 uninterrupted customs operations.

JHCTECH has been deeply engaged in the field of industrial computing, offering tailored solutions for the diverse requirements of smart customs supervision scenarios such as intelligent gates, self-service declaration kiosks, and self-service tax payment machines. To address these needs, JHCTECH recommends three high-performance fanless box PCs—KMDA-7610, KMDA-7920, and KMDA-7921—which provide reliable, scalable, and robust hardware support for the construction of smart customs systems.

Amid the rapid development of intelligent transportation and vehicle-infrastructure collaboration, edge computing (MEC) has become a core technology for achieving low-latency, highly reliable perception fusion. JHCTECH has officially launched the BRAV-7820, a next-generation edge computing product. This high-performance edge computing device, designed specifically for intelligent transportation, delivers powerful computing power for integrated vehicle-infrastructure-cloud scenarios with high performance, high energy efficiency, and industrial-grade reliability.

As night falls, office lights go out, and humans drift off to sleep, JHCTECH's mascot, J-Bao, quietly begins his night shift. This tiny, intelligent creature from the "IoT Planet" disguises itself as an ordinary industrial computer during the day, transforming into an all-powerful "device guardian" at night. Today, let's uncover J-Bao's late-night secrets!

Amid the wave of digital transformation, edge computing is becoming the core driving force behind AI deployment. JHCTECH proudly presents the high-performance AI edge computing system BRAV-7722. With outstanding performance, industrial-grade reliability, and flexible deployment capabilities, it delivers powerful computing support for smart transportation, machine vision, digital healthcare, and more!

The BRAV-7722 is a high-performance AI edge computing system powered by Intel® Alder Lake-S, Raptor Lake-S, and Raptor Lake-S Refresh series processors, with the Q670 chipset. Featuring a dual-processor CPU+GPU architecture, it delivers high performance with multiple network ports, multiple display outputs, and rich I/O functions. It also offers optional BMC module support for remote management and a DC 19V power input. Designed for intelligent transportation, machine vision, autonomous driving, smart security, and digital healthcare applications.

With the rapid advancement of artificial intelligence (AI), humanoid robots for home use are steadily moving from science fiction into reality. These robots demand not only powerful computing performance to handle complex AI algorithms, but also a wide range of interfaces to connect with diverse sensors and actuators. At the same time, they must comply with the stringent requirements for stability and safety in household environments. How to deliver efficient and reliable hardware support for such robots has become an urgent challenge for the industry. JHCTECH provides a comprehensive hardware solution based on the BRAV-7123 edge computing system to address the demanding requirements of home-use humanoid robots for high-performance computing, versatile expansion, stable operation, and compact design.