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.

With the accelerated advancement of Industry 4.0, traditional manufacturing is undergoing a critical transformation toward intelligent and flexible operations. As a result, the performance requirements for controllers on industrial automation production lines have increased significantly. Amid the wave of intelligent upgrades in industrial automation, the BRAV-7135 stands out as an ideal controller solution, leveraging the powerful performance of the NVIDIA Jetson AGX Orin platform combined with robust industrial-grade design.

JHCTECH has recently been officially elevated to Titanium Partner status within the Intel® Partner Alliance (IPA), thanks to its outstanding technical expertise, innovative product solutions, and deep collaboration with Intel. This significant milestone marks JHCTECH's top international recognition in the industrial computing (IPC) and embedded solutions sectors, and demonstrates Intel's strong commitment to JHCTECH's technological capabilities and market contributions.

With the rapid development of smart healthcare, hospital self-service registration kiosks have become essential for streamlining patient visits and improving service efficiency. The performance and security of their core controllers are critical to ensuring stable and reliable operation.

In light of China’s national strategy to localize key technologies, there is a growing demand in the healthcare sector for high-performance computing hardware developed domestically. JHCTECH’s CNTI-D2K1, a box PC powered by the Phytium D2000 processor, features rich I/O connectivity and stable performance, making it an ideal hardware reference solution for medical self-service kiosks.

In vast agricultural fields, traditional spraying methods have long faced numerous challenges: complex and ever-changing terrain, uneven crop heights, irregular pest distribution, and a one-size-fits-all spraying approach. This often results in significant pesticide waste—estimated at 30% to 50%—as well as environmental pollution, subpar effectiveness, and rising operational costs. With the rapid rise of the low-altitude economy, agricultural spraying drones are emerging as a key solution to these pain points. However, to truly achieve intelligent and precise spraying, a powerful “brain” at the core of the drone is essential. The BRAV-7121 controller solution combines powerful edge computing capabilities with a rich set of industrial interfaces, empowering drones with true intelligence for situational awareness and precise decision-making. It drives agricultural production toward greater digitalization, precision, and sustainability.

On June 28, 2025, the extension of Nanchang Metro Line 1 officially opened for initial operation! This important extension line carrying the city's north-south traffic artery brings a more convenient travel experience to citizens. As an industrial computer solution provider, JHCTECH is honored to provide core hardware support for the AFC (automatic ticket vending and checking) system of this project. The AFC system dedicated controller SIGM-2661 injects strong momentum into the digital upgrade of Nanchang rail transit with its excellent performance!

With the rapid growth of manufacturing, logistics, and e-commerce industries, intelligent handling robots have become a key tool for improving efficiency and reducing costs. These robots not only address traditional logistics pain points—such as low efficiency, high costs, and safety risks—but also push the industry toward a new stage of automation and flexibility through smart and scalable designs. By combining autonomous mobile chassis with collaborative robotic arms, they enable “unmanned” and “flexible” operations. A large smart warehousing and logistics system provider in South China has launched a dual-arm wheeled humanoid robot based on an AGV chassis integrated with collaborative robotic arms. After rigorous testing and evaluation, the customer ultimately selected JHCTECH’s KMDA-7611-S001 as the core control system for their dual-arm wheeled humanoid robot.

With the rapid increase in urban vehicle numbers, efficiently managing traffic and ensuring road safety has become a global challenge. In Brazil, a fixed radar and electronic surveillance system based on the ECM-I913 3.5-inch single-board computer is quietly transforming traffic management. This high-performance embedded SBC, with its exceptional stability and powerful processing capabilities, has become a key enabler behind Brazil’s intelligent transportation initiatives.

On June 16, 2025, the themed conference “Intelligent Control of Airspace · Integrated Future — Collaborative Development of Vehicle-Road-Cloud Integration and the Low-Altitude Economy,” co-hosted by JHCTECH and Intel China, successfully concluded at the Intel Greater Bay Area Technology Innovation Center in Shenzhen.

The event brought together industry experts, business leaders, and academic professionals to engage in in-depth discussions on the integration and innovation of smart transportation and the low-altitude economy, outlining a visionary blueprint for the digital transformation of future cities.

In the field of smart security, intelligent control equipment is the core of the entire system. A stable, reliable, real-time, efficient, user-friendly, and easy-to-deploy controller can significantly enhance the safety and operational efficiency of security systems. JHCTECH’s latest KMDA-2632 embedded box PC is purpose-built for such scenarios. With its energy-efficient processor, rich and high-speed industrial communication options, intuitive I/O layout, and compact, low-power design, it is the ideal choice for smart security and various industrial automation applications.

As Industry 4.0 continues to accelerate, the demand for intelligent equipment is surging. Traditional industrial control systems are increasingly challenged by limitations in computing power, energy efficiency, and flexibility. Leveraging years of expertise in industrial automation, JHCTECH proudly introduces the KMDA-3306 – Smart Industrial Controller Version 2.0. With breakthrough performance, it sets a new benchmark for industrial control and empowers enterprises on their journey toward intelligent transformation.

With the booming development of smart industry and edge computing, enterprises are demanding higher performance and energy efficiency from computing devices. JHCTECH proudly introduces the new NODE-I916 and NODE-I721 modular computers, powered by Intel® Core™ Ultra platform and Alder Lake-N platform respectively. With differentiated CPU configuration as their core, they deliver tailored solutions for AI inference, industrial automation, and embedded applications.

On May 21, 2025, the "Vehicle-Road-Cloud Integrated Edge Computing Solution Adaptation Roadshow" co-organized by JHCTECH and Intel, was successfully held at the Sheraton Jiading Hotel in Shanghai. The event brought together industry experts, partners, and professionals to explore the innovative applications and future trends of edge computing technology in the field of intelligent driving. The event was met with enthusiastic participation and yielded fruitful outcomes.

In the steel manufacturing industry, a stable and efficient SCADA (Supervisory Control and Data Acquisition) system is essential to achieving intelligent production. A large steel plant in India recently deployed JHCTECH’s fanless embedded Box PC, KMDA-6920, delivering a rugged, reliable, and low-maintenance computing solution for its SCADA system, significantly enhancing the plant’s automation and production efficiency.

As digitalization and AI technologies rapidly advance, AI edge computing has become a key driving force across industries. The BRAV-7601, a high-performance fanless AI edge computing system, offers outstanding solutions for vehicle-to-everything (V2X) collaboration, special-purpose vehicle applications, machine vision, medical imaging, and more, thanks to its powerful hardware and versatile expansion capabilities. What’s new in the upgraded BRAV-7601-T003? Let’s explore the highlights with J-Bao!

JHCTECH New Member! The smart elf from "IoT Star" J-Bao is officially launched.

As urbanization accelerates, many cities face growing traffic congestion and traffic violations. Traditional manual law enforcement can no longer meet the needs, and an efficient and stable intelligent traffic monitoring system is urgently needed to improve traffic management efficiency and reduce the accident rate. In order to alleviate these problems and promote more efficient and safer traffic engineering, a Brazilian smart transportation solution provider launched their traffic light monitoring system solution and needed to select a suitable control device for this purpose. The Brazilian customer finally chose KMDA-3302 as the core computing unit. The advantages include: ✅ High performance computing ✅ Compact and sturdy ✅ Rich interfaces ✅ Flexible expansion.

In 2025, JHCTECH's globalization strategy will be further implemented! Our official websites in Spanish and Portuguese are now live, breaking down language barriers in the Latin American market. "¿Cómo estás?" "Você está bem?" (How are you?) From today on, this greeting not only belongs to the sunny beaches of the Iberian Peninsula and Latin America, but also belongs to the industrial control world of JHCTECH! 

As the demand for flexible manufacturing continues to grow, collaborative robots are emerging as a key driver of industrial transformation. With their safety, flexibility, and ease of use, they work seamlessly alongside humans to perform precision tasks. At the heart of these intelligent systems lies a powerful “brain” — the KMDA-2631 Cobot Controller. Engineered by the JHCTECH R&D Center, this fanless, highly integrated controller delivers exceptional real-time performance, redefining the standard for cobot control. It’s the optimal solution for next-generation collaborative robotics.

On March 27-28, the 27th China Highway Informatization Conference and Technology Products Expo was successfully held at the Qingdao International Convention and Exhibition Center! As the annual grand event in the smart transportation sector, it attracted numerous leading companies in the industry. JHC, in collaboration with Intel, made a remarkable appearance with three major themed exhibition areas and a new product launch event, becoming the highlight of the entire show.

The market prospects for drones are extensive. Small drones can be widely utilized in fields such as aerial photography, agricultural crop protection, disaster prevention and mitigation, search and rescue, traffic monitoring, resource exploration, remote sensing and mapping, border patrol, meteorological observation, and more. However, the lag in drone management and control measures has led to numerous “unauthorized flights” that are difficult to regulate and hold accountable, creating an urgent need for drone detection and countermeasure solutions.

KMDA-5920 and BRAV-7720. These products support the customer’s self-developed optoelectronic identification and tracking system model, enabling high-precision and high-sensitivity tracking and positioning of drones. JHCTECH edge computing solutions are primarily used to receive data captured by optoelectronic cameras, achieving precise drone positioning.

The most common applications of machine vision include visual inspection and defect detection, part positioning and measurement, and product identification, classification, and tracking. A typical machine vision application system consists of image capture, a light source system, an image digitization module, a digital image processing module, an intelligent decision-making module, and a mechanical control execution module. Industrial computers are indispensable as the processing centers of machine vision systems. JHC’s BRAV-7721 was selected as the main controller for the entire intelligent industrial machine vision inspection system. It connects to multiple cameras and sensors to collect data on the inspected products. The AI capabilities analyze the various visual data captured, while the built-in inspection software compares the data against standards and outputs results. The system visualizes the data and sends operational instructions to the next stage of mechanical control, automating defect and quality inspection and improving production line efficiency.

Typically, surgical robots are composed of a surgical console, a surgical cart with robotic arms, and an imaging system. The need for precise control, stable operation, and real-time response requires the computer hardware responsible for the system’s control to meet strict performance and quality standards. Consequently, embedded computer products with higher performance, better scalability, and greater durability have become the ideal choice for controlling surgical robot systems.

The control system is the core component of the surgical robot. JHCTECH provides the KMDA-7920 series products to empower surgical robots.

The BRAV-7601 is utilized in the telematics-based Automatic Train Control System. It receives data from acquisition modules installed on the train, analyzes the information using pre-installed software, and sends the processed data to the management center.

Based on the above pain points in the development of the smart industry, it is particularly essential to design a dedicated controller that meets industry needs and offers high versatility across various scenarios. For this reason, JHCTECH has developed specialized industrial controllers for smart industries, KMDA-3303/3305, to support the efficient growth of smart industries.

KMDA-3303/3305 is a high-performance, compact embedded computer with an SGCC cabinet structure and an aluminum-extruded heat-dissipating shell. Equipped with Intel® Tiger-Lake U Soc series CPU, it features rich IO functions and shock-absorbing design, making it suitable for AGV/AMR, industrial automation production lines, and smart warehousing applications.

As an NVIDIA NPN partner, JHCTECH works closely with NVIDIA and actively invests in the research and development process of AI edge computing controllers based on the NVIDIA platform.

With the problems of scene adaptation, performance, functional redundancy, etc. reflected in the application process of BRAV-7131, in order to meet the needs of different scene applications, JHCTECH quickly entered the R&D plan of new products.

Based on the NVIDIA Jetson Orin platform, three new BRAV series edge computing MECs developed based on Jetson Orin Nano, Jetson Orin NX and Jetson AGX Orin platforms were launched-BRAV-7120/7121/7134. Successfully completed the global deployment of JHCTECH on the NVIDIA Jetson Orin platform, further broadening the coverage of JHCTECH products.

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.