Ruiming Technology applies for patents related to model optimization methods, which optimize the model structure and improve optimization efficiency and effectiveness.

April 2 news, according to information from the National Intellectual Property Administration, Shenzhen Ruiming Technology Co., Ltd. has applied for a patent titled “Model Optimization Method, Device, Terminal Equipment, and Computer Program Product”. The application publication number is CN121766398A, the application number is CN202511764186.2, the application publication date is March 31, 2026, the application date is November 27, 2025. The inventor is Huang Di. The patent agency is Shenzhen Zhongyi United Intellectual Property Agency Co., Ltd., and the patent agent is Chen Zhuohong. Classification number is G06N3/126.

The patent abstract shows that this application relates to a model optimization method, device, terminal equipment, and computer program product. The method includes: obtaining model information of the model to be optimized and chip information of the target chip. The model information includes structural features, target type, and performance indicators, while the chip information includes target model and chip parameters. Based on the chip parameters, a first constraint is determined, and based on the performance indicators, a second constraint is determined. From a pre-built model structure library, candidate layer instances that match both the target model and the target type are selected; the model structure library includes multiple layer instances, and each layer instance is labeled. The label identifies the chip model and task type that the layer instance is suitable for. Based on the structural features, the first constraint, and the second constraint, multiple candidate layer instances are combined and filtered to obtain candidate layer combinations. Based on the candidate layer combinations, a first optimization model is generated. Through this application, the problems in the related art—low model structure optimization efficiency and poor optimization effects—are addressed.

Shenzhen Ruiming Technology Co., Ltd. was established on September 3, 2002, and was listed on the Shenzhen Stock Exchange on December 17, 2019. The company’s registered address and office address are both located in Shenzhen, Guangdong Province. Shenzhen Ruiming Technology is a leading enterprise in the global commercial vehicle onboard monitoring field. It focuses on video-centric commercial vehicle monitoring informatization products and has deep technical barriers.

Shenzhen Ruiming Technology’s principal business is the R&D, production, and sales of video-centric commercial vehicle monitoring informatization products. The Shenwan industry classification is Computer - Computer Equipment - Other Computer Equipment. The concept sector(s) it belongs to include waste sorting, mid-cap growth, and mid-cap.

In 2025, Shenzhen Ruiming Technology’s operating revenue was 2.477 billion yuan. Its industry ranking was 5/11. Compared with the first-place company, Guangdian Tongxin, at 12.055 billion yuan, and the second-place company, Daotong Technology, at 4.833 billion yuan, there is a gap. However, it is higher than the industry average by 2.805 billion yuan and higher than the median by 1.114 billion yuan. In its principal business, AI solutions were 2.015 billion yuan, accounting for 81.37%; video equipment was 414 million yuan, accounting for 16.70%; and other items were 47.77 million yuan, accounting for 1.93%. Net profit was 389 million yuan, with an industry ranking of 4/11. Compared with 1.109 billion yuan for the top company, Guangdian Tongxin, and 890 million yuan for the second-place company, Daotong Technology, there is still room for improvement. It is higher than the industry average by 257 million yuan and higher than the median by 87.56 million yuan.

The recent patent information for Shenzhen Ruiming Technology Co., Ltd. is as follows:

Disclaimer: Market risks exist; invest cautiously. This article is automatically published by an AI large model based on third-party databases, and does not represent the views of Sina Finance. Any information appearing in this article is for reference only and does not constitute personal investment advice. If there is any discrepancy, please refer to the actual announcements. If you have any questions, please contact biz@staff.sina.com.cn.

Massive information and precise insights—everything is available on the Sina Finance app

Responsible editor: Xiao Lang Express