As the year turns and everything renews, we stand at the starting point of 2026. On January 16, JHCTECH gathered with partners and colleagues from across the country at the Grand Mercure Shenzhen Guangming for the annual conference themed “Growing Together, Thriving Together.”

This was not only a gathering to reflect on the past and look ahead to the future, but also a meeting of minds — a convergence of wisdom to shape the road forward together.

With the rapid advancement of artificial intelligence and robotics technologies, the markets for service robots, industrial automation, and special-purpose robots are experiencing unprecedented growth opportunities. However, achieving powerful AI computing performance, complex multi-sensor fusion, and highly reliable real-time control within constrained size and power budgets has become a critical challenge for many robotics companies transitioning from prototypes to mass production.

A leading humanoid robot manufacturer in China has successfully achieved large-scale mass production of its next-generation service humanoid robots based on JHCTECH’s BRAV-7123 edge computing platform. This milestone marks a significant breakthrough in both robotic intelligence and large-scale commercialization through the collaboration between the two parties.

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.