Group 1 - The company, Hongying Intelligent (001266.SZ), currently does not have any products applied in the brain-machine interface sector [1] - The company will continue to monitor cutting-edge technologies in this field [1]

Group 1 - The company currently does not have any products applied in the brain-machine interface (BMI) sector [2] - The company will continue to monitor cutting-edge technologies in the BMI field [2]

Group 1 - The core viewpoint of the article is that Entropy Technology (301330.SZ) is currently in the product development stage for its brain-machine related products [1] - The company's stock price fluctuations are influenced by multiple factors [1] - The company aims to adhere to its strategic positioning, enhance operational performance, and increase intrinsic value while actively rewarding investors [1]

Core Insights - The company focuses on two main sectors: brain-machine interfaces and vehicle-road-cloud technology, aiming to drive the implementation of innovative technologies [2] - The vehicle-road-cloud products are set for short-term deployment, providing comprehensive solutions from road perception to cloud data processing, enhancing smart traffic scenarios [2] - Long-term prospects for brain-machine interface products are promising in medical, educational, and elderly care applications, leveraging the company's expertise in biometric technology [2][3] Vehicle-Road-Cloud Technology - The vehicle-road-cloud technology will improve license plate recognition management efficiency and user experience, accelerating commercialization [2] - The company is also expanding its smart parking operations and leasing business [2] Brain-Machine Interface Market - The brain-machine interface market is expected to grow rapidly, with a projected compound annual growth rate of 25.22% from 2025 to 2029, reaching a market size of $7.63 billion by 2029 [3] - The Chinese market is anticipated to exceed 10 billion yuan by 2028, driven by the aging population and the demand for products addressing cognitive disorders [3] - The market for early screening of elderly diseases, such as Alzheimer's, presents significant opportunities [3] Technical Challenges and Solutions - The brain-machine interface industry faces challenges in signal recognition accuracy and speed due to the complexity of the human brain's neural networks [2] - The company has developed the BioCV TinyML algorithm model to mitigate signal interference and enhance signal quality [2]