Shenzhen, China, July 24, 2025 (GLOBE NEWSWIRE) -- Lianhe Sowell International Group Ltd (Nasdaq: LHSW) (the “Company” or “Lianhe Sowell”), a provider of industrial machine vision products and solutions in China, today announced the successful export and commissioning of 10 sets of its new generation automated precision vision Spray Painting Robots (the “Spray-Painting Robots”) to South Korean client MM Motors Co., Ltd. (“MM Motors”), building on its July 10, 2025 delivery of next-generation automated preci ...

Core Viewpoint - Lianhe Sowell International Group Ltd has successfully delivered a new generation automated precision vision spray painting robot to Mercedes-Benz Asia's largest Body & Paint center, marking a significant advancement in the company's expansion into automated spray painting technology and the high-end automotive aftermarket service sector [1][4]. Group 1: Company Developments - The delivered painting robot features an independently developed high-precision 3D vision recognition system and AI dynamic path planning technology, achieving millimeter-level precision in painting operations [2]. - The system reduces paint consumption by over 20% and improves spraying efficiency by over 30% compared to traditional manual spraying, while also significantly lowering volatile organic compound (VOC) emissions [2]. - The robotic system will be utilized in the luxury vehicle repair line, helping vehicles meet factory-level paint restoration standards, thus establishing a new intelligent operational model for the industry [4]. Group 2: Strategic Partnerships - Mercedes-Benz Asia's largest Body & Paint center, located in Beijing, integrates digitalization and automation with an annual service capacity exceeding 10,000 high-end vehicles, positioning Lianhe Sowell as a key solutions provider for the automation upgrade in the Body & Paint sector [3]. - The company plans to collaborate closely with the Mercedes-Benz Body & Paint Center to define new standards and concepts for high-end automotive precision vision automated spray painting robots [4]. Group 3: Future Outlook - Lianhe Sowell aims to deepen the intelligent spray ecosystem by focusing on key technologies such as remote operation, maintenance diagnostics, and spray painting big data analysis to enhance the technological intelligence of body and paint processes [4]. - The successful delivery of the robotic system is seen as a milestone that strengthens the company's steady business growth in the automotive aftermarket sector [4].

Core Viewpoint - Lianhe Sowell International Group Ltd has secured sales agreements for 500 Nine-Axis Linkage Spray Painting Robots, marking a significant achievement post-NASDAQ listing and positioning the company as a leader in intelligent painting robotics in China's vehicle repair and maintenance industry [1][4][5]. Group 1: Sales Agreements and Financial Impact - The total sales amount for the 500-unit order is approximately RMB200 million [4]. - The agreements represent a pivotal achievement for the company, showcasing market confidence in its technological advantages and product reliability [5][6]. - The successful sales of the Painting Robots are expected to deliver substantial cost savings for clients by reducing material waste by up to 30% and cutting operational timelines by 25% [5]. Group 2: Technological Advancements - The Painting Robots will feature an advanced 3D vision recognition system, enabling real-time surface mapping and dynamic path optimization for efficient painting operations [5]. - The technology guarantees consistent coating uniformity, enhancing operational flexibility and performance excellence [7]. Group 3: Strategic Positioning and Future Plans - The contracts validate Lianhe Sowell's strategic roadmap and position the company for sustained growth through global application expansion and a diversified solution portfolio [8]. - The company plans to intensify collaborations across the industrial ecosystem to pioneer smart manufacturing advancements, embedding industrial vision technology into global supply chains [9].