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.

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.