Today, with the rapid convergence of AI and robotics, humanoid robots are moving from science fiction to reality. How can we empower these “future partners” with a more powerful “brain”? JHCTECH proudly introduces the BRAV-7123/7135 — a dedicated controller for humanoid robots. With industry-leading computing power, outstanding performance, and flexible expansion capabilities, it becomes the “smart core” of humanoid robotics, opening a new chapter in intelligent control.

In today's fast-paced life, traffic congestion has become a "chronic disease" of urban development. Especially at the toll gates of highways, queuing to pay not only wastes time, but also increases the carbon emissions of vehicles. However, with the emergence of multi-lane free flow (MLFF) systems, this problem is being gradually solved. Today, let's talk about how JHCTECH provides industrial control computers to customers in Brazil and Argentina, facilitating the deployment of MLFF systems and driving the development of smart transportation.

Mobile charging robots are the result of integrating charging pile technology with mobile robotics. They typically consist of a chassis, battery pack, charging pile, charging gun, sensors, control system, charging port perception system, voice interaction system, and other components. At present, most mobile charging robots still resemble “vehicles” in appearance, essentially functioning as large, mobile “power banks.” The control system, acting as the brain of the mobile charging robot, plays a crucial role in executing a series of tasks.

On January 9, 2025, JHCTECH successfully held its 2025 annual work report conference in Shenzhen. Colleagues from various branches and offices traveled to Shenzhen and gathered together. The theme of this conference was "Self-Reflection: Exploring Certainties Amid Uncertainty," focusing on summarizing the business development of 2024, adjusting direction, and exploring the goals that should be established amid the uncertainties of 2025. In 2025, JHCTECH aims to rise against the tide, go against the wind, and break the waves.

They demonstrate professionalism and responsibility through extraordinary performance and have added great glory to the company’s development with their outstanding results. This is not only a high recognition of their exceptional contributions but also an encouragement and inspiration for all those who work tirelessly to pursue their dreams. Let us open the door of glory together and witness the power of role models!

“Guilin’s landscapes are the best in the world”—this timeless saying has inspired countless people to yearn for the breathtaking scenery of Guilin. Following the conclusion of the annual work report conference, JHCTECH employees embarked on a journey to Guilin to experience a double feast of the soul and nature.

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.

Unmanned forklift technology is an innovative solution that integrates 3D real-time positioning, map construction, and autonomous driving technologies. This technology primarily utilizes multi-line LiDAR as the main sensor to capture 3D point cloud data of the surrounding environment, enabling unmanned forklifts to achieve autonomous positioning, map construction, path planning, and obstacle avoidance. Some unmanned forklifts can achieve autonomous navigation and positioning by incorporating auxiliary positioning equipment, such as QR codes and reflectors, into the environment, or by leveraging SLAM technology. These capabilities allow for high-precision navigation and operations in complex indoor and outdoor scenarios.

JHCTECH’s KMDA-3305 can be installed in the electrical compartment of the unmanned forklift body. By collecting data from sensors such as LiDAR, millimeter-wave radar, and stereo cameras, and utilizing data fusion algorithms, it enables autonomous path planning, navigation, obstacle avoidance, and pallet docking. Through CAN bus communication with servo motors and steering wheel control, it supports vehicle movement, steering, braking, and arm lifting. Additionally, it manages various sensors, indicator lights, and touchscreens on the vehicle, enabling human-computer interaction and ensuring safety. With wireless transmission capabilities such as WiFi and 5G, it facilitates communication with dispatch servers, supporting complex tasks like multi-vehicle scheduling, traffic management, and cross-scenario transportation.

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.

As the core component of smart ports, the quality of intelligent warehousing management directly determines the efficiency of port operations. Modern warehousing systems involve complex items, diverse shapes and functions, and intricate processes. These systems must handle storage, movement, sorting, and assembly tasks. To efficiently manage and respond to these processes, technologies such as automatic control, intelligent robotic stacking, smart information management, wireless RFID, mobile computing, human-computer interaction, and data mining are essential. These technologies enable automatic inventory, picking, data queries, location management, dynamic stock control, and inbound/outbound logistics. A suitable, high-performance industrial panel PC serves as the main control system, facilitating the seamless construction of an intelligent warehousing system.

The low-altitude economy is hailed as a key driver of future economic growth, with low-altitude logistics serving as one of its major driving forces, offering immense market potential. Logistics distribution based on drone technology addresses traditional logistics challenges such as high labor costs, low efficiency, and limited coverage. By leveraging three-dimensional distribution networks, it provides faster, more efficient “door-to-door” delivery services, helping to solve the “last-mile” bottleneck in urban logistics.

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.