Core Viewpoint - Liyade (300296) emphasizes its focus on virtual reality and motion capture technology through its subsidiary, Virtual Motion, which utilizes the leading OptiTrack optical capture technology to provide high-precision and high-performance spatial computing solutions [1] Group 1: Company Overview - Virtual Motion is an innovative company specializing in virtual reality and motion capture technology [1] - The company integrates research and development, production, and sales into its operations [1] Group 2: Technology and Applications - The core technology of Virtual Motion is the OptiTrack optical capture technology [1] - The company aims to promote the integration of spatial computing technology across various industries, including film and animation, virtual reality, sports training, medical rehabilitation, industrial simulation, and embodied intelligence, particularly in humanoid robotics [1] - Virtual Motion is focused on creating diverse and practical industry application scenarios [1]

Core Insights - The article highlights the rapid growth and strategic pivot of Noitom Robotics, a company that has achieved significant success in the embodied intelligence sector, securing several million yuan in contracts within just eight months, marking a fivefold increase compared to the previous year [1][14]. Group 1: Company Overview - Noitom, a leader in the motion capture market with a 70% global market share, has transitioned from serving the film industry to focusing on robotics data solutions [3]. - The company was prompted to split its robotics team into Noitom Robotics due to a sudden surge in demand for motion capture equipment from top robotics firms [3][12]. Group 2: Talent Acquisition - Noitom Robotics has attracted top talent from major tech companies, including former leaders from Tencent, ByteDance, and SenseTime, enhancing its capabilities in the robotics field [6][9]. - The team includes experts with extensive backgrounds in robotics and hardware development, such as Han Lei, the Chief Scientist, and Xu Anmin, the Vice President of Hardware Engineering [6][7]. Group 3: Market Potential - The demand for high-precision interaction data is increasing as the robotics industry evolves, with motion capture technology emerging as a viable solution for data collection [4][12]. - The market for robotics data services is expected to grow significantly, supported by government policies aimed at increasing robot density in manufacturing and expanding applications in service and specialty robots [14]. Group 4: Business Strategy - Noitom Robotics is leveraging its established expertise in motion capture to create a unique business model that aligns with the needs of the robotics industry, aiming to bridge the gap between technology and practical applications [14][15]. - The company has already received orders from nearly 30 domestic robotics manufacturers, indicating strong market validation for its approach [12][14].

Core Insights - Noitom, a leading provider of motion capture equipment, is experiencing unexpected opportunities in the era of embodied intelligent robots due to a significant data shortage in the robotics industry [1][4] - The company has captured 70% of the professional motion capture market since its establishment in 2012, providing equipment for major Hollywood productions [1][4] - Noitom Robotics, a new subsidiary focused on robot data, has been formed and is already seeing substantial demand from various robotics manufacturers [7][8] Company Overview - Noitom was founded in 2012 and has become the largest motion capture equipment provider globally, with a market share of 70% [1] - The company has worked on major films such as "Game of Thrones," "Wolverine," and "Star Wars" [1] - The new subsidiary, Noitom Robotics, is led by a team with significant industry experience, including former leaders from Tencent and ByteDance [5][7] Market Opportunity - The demand for motion capture equipment has surged as robotics companies seek to collect high-quality data for training their robots [1][8] - Noitom Robotics has secured several million in angel funding and is currently in the process of a Pre-A round of financing [7] - The company has already signed contracts worth tens of millions in the first eight months of 2025, a fivefold increase compared to the previous year [8] Business Model - Noitom Robotics operates under two main projects: Project T (Tele-operation) and Project D (Data Factory) [8][11] - Project T focuses on selling hardware and providing services for remote operation data collection, while Project D aims to create a data collection factory to sell data and licenses [11][20] - The company anticipates that Project T could generate annual revenues in the hundreds of millions, while Project D could reach billions [11] Data Collection Strategy - The company is addressing the challenge of data scarcity in the robotics field by categorizing required data into a pyramid structure, emphasizing the importance of high-quality human data [18][20] - Noitom Robotics plans to create a large dataset of human actions, which will be used to train robots effectively [21][22] - The company recognizes the need for diverse data sources, including internet-sourced synthetic data, to enhance the data pool for robotics [22] Industry Trends - The robotics industry is currently facing a data bottleneck, with significant investment flowing into solving data-related challenges [22] - In the first eight months of 2025, the robotics sector saw financing reach 38.6 billion yuan, double that of the entire previous year [22] - The ongoing debate within the industry regarding the best data collection methods highlights the urgency for effective solutions [14][19]

Core Insights - CreateAI has officially launched its motion capture base in Beijing, which is the largest in Asia and features 130 advanced devices, marking a significant development in the motion capture industry in China [1][2] - The transition from autonomous driving to content creation reflects a strategic pivot for CreateAI, which aims to leverage its technological expertise in AI for the film and gaming sectors [4][5] - The motion capture base addresses the resource shortage in Northern China, enhancing the capabilities for high-quality motion capture in various applications, including film, gaming, and digital heritage [2][3] Company Overview - CreateAI, previously known as TuSimple, rebranded in December 2024 to focus on generative AI technologies, particularly in animation and gaming content [4][5] - The company has retained most of its core team during the transition, with a new focus on building a robust ecosystem for two-dimensional content [5] - CreateAI's product, Animon.ai, has gained popularity in Japan, showcasing the potential of AI in lowering the barriers for animation creation [5] Industry Context - The motion capture technology has become a standard in commercial gaming and is increasingly utilized in the cultural and entertainment industries [2] - The new base supports advanced features such as sub-millimeter capture accuracy and simultaneous multi-person tracking, which significantly reduces production cycles [2] - AI's role in film and game production is evolving from a supportive tool to a core component, enhancing efficiency and creativity in the industry [6]

Core Insights - The CreateAI motion capture base in Beijing's Huairou District marks a significant step in the digital transformation of China's film industry, being the largest motion capture center in Asia with a 2000m² facility and 130 advanced devices [1][2] Group 1: Technology and Infrastructure - The base features a matrix of 130 infrared cameras with 26.2 million pixels, capable of capturing movements with "sub-millimeter" precision, allowing for simultaneous capture of over 10 individuals, including fine details like finger joints and facial expressions [1] - A real-time preview system enables the synchronization of motion capture data with film previews, allowing directors to view virtual characters in digital scenes instantly [1] Group 2: Services and Applications - The base offers a full-service chain, including makeup rooms and prop storage, creating a one-stop production space that supports various applications in film, AAA gaming, virtual production, and digital heritage [2] - The base is currently developing an internationally recognized open-world RPG game, "The Legend of the Condor Heroes," and aims to foster a technology cooperation network among film and gaming companies in China [2] Group 3: Industry Impact - The establishment of the motion capture base is expected to accelerate the integration of film culture and technological innovation in China, contributing to the development of a competitive digital cultural creative industry cluster [3] - The Huairou District has been optimizing its industrial policy environment to attract technology companies and young entrepreneurs, enhancing the overall film industry ecosystem [2]

Group 1: AI and Spatial Computing Business - The company focuses on AI and spatial computing, leveraging global leading optical motion capture technology for product development and sales, applicable in various fields such as film, robotics, healthcare, sports, and industrial simulation [1] - In 2024, the company entered the embodied intelligence sector, emphasizing "data, services, algorithms, and hardware" as core capabilities, and established a joint laboratory with industry partners [2] Group 2: Data and Service Capabilities - The company has a rich accumulation of motion data and can continuously generate new data based on motion capture technology, creating high-quality, high-precision robot motion datasets [2] - Services have expanded from hardware provision to include data collection, robot training services, and simulation training, tailored to customer needs [2] Group 3: Investor Questions and Responses - The company offers comprehensive solutions, including hardware, software, and data services, based on varying customer requirements [3] - A high-quality motion database is available, allowing robot manufacturers to extract data directly, with ongoing data collection based on specific needs [3] - The amount of data required for training robots varies; for example, training a robot to run may require around 100 effective data points, while more complex actions necessitate more data [4] Group 4: Data Processing and Technology - Data collected from motion capture must be cleaned to eliminate noise and distortion before being optimized for robot use [5] - The company employs various technical routes, including optical, inertial, and hybrid systems, with optical technology currently deemed the most precise for robot training [5]

Business Overview - The company has three main business segments, with the LED smart display segment accounting for over 85% of revenue [2] - The cultural tourism night tour segment previously contributed nearly 30% to revenue but has decreased to less than 10% since 2018 due to policy adjustments [2] - The virtual reality segment, established after acquiring NP in 2017, has maintained a leading position in optical motion capture technology [2] Revenue Distribution - As of 2024, overseas display business accounts for 45.64% of the LED smart display segment, aligning with the company's goal of balanced domestic and international development [2] - The Asia, Africa, and Latin America markets have seen a revenue increase of nearly 40%, with their contribution to overseas smart display revenue rising to 34% in 2024 [3] Sales Strategy - The company employs a dual sales model: direct sales with a team of approximately 300-400 people and channel sales through partners [2] - A "direct-channel integration" strategy has been adopted to enhance market penetration and customer engagement [2] AI and Spatial Computing Segment - The AI and spatial computing segment focuses on optical motion capture technology, with applications in various fields including film, gaming, and industrial inspection [4][5] - The company has developed multiple advanced technologies, including Lydia motion model and LydCap markerless motion capture [6] Future Plans - The company aims to enhance its product offerings, including Hi-Micro and quantum dot technologies, and expand its rental and outdoor screen product lines [12] - Plans for increased system integration and a shift towards becoming a comprehensive service provider for display product applications are underway [12] - The company is also venturing into the consumer market with AI+AR glasses and AI toys, with mass production planning in progress [12]

Summary of Motion Capture Technology in Robotics Industry Overview - The motion capture technology is divided into two main categories: inertial and optical systems. Inertial systems are portable but susceptible to interference, while optical systems offer high precision but come with higher costs [2][4][5]. Key Points and Arguments - **Inertial Motion Capture**: - Utilizes multi-axis sensors (e.g., nine-axis or twelve-axis) to collect motion data. It is portable and easy to operate, but suffers from cumulative errors and interference from magnetic fields [4][5][8]. - Data accuracy can be compromised in environments with Bluetooth or WiFi interference, leading to pose estimation errors and data loss [5][9]. - **Optical Motion Capture**: - Achieves sub-millimeter precision and is not affected by magnetic fields, making it suitable for high-precision applications. However, it requires a controlled environment and is sensitive to physical vibrations and lighting conditions [2][7][8]. - The cost of optical systems can be significant, with setups costing around 300,000 to 400,000 RMB [4]. - **Market Segmentation**: - The motion capture market is segmented into three tiers: - High-end market dominated by Yobeat and OptiTrack, serving major clients like Tencent and Alibaba. - Mid-tier market catering to general industrial applications and research institutions. - Niche market served by smaller companies providing specialized solutions [2][10][12]. - **Data Quality and Processing**: - Optical motion capture systems yield high data quality with an output rate of 98%-99%, while inertial systems have a slightly lower output rate of 90%-95%. Optical data often requires further processing, while robotic motion capture data is generally more straightforward [18][24]. - **Application Trends**: - The application of motion capture technology in robotics is expanding, particularly in embodied intelligence and model training. Leading companies in China are actively developing motion capture algorithms for humanoid robots [3][19][20]. Additional Important Insights - **Industry Competition**: - The competitive landscape is characterized by established players like Yobeat and OptiTrack, which have a strong presence in high-end markets, while newer entrants are gradually capturing mid-tier segments [10][13]. - **Commercial Models**: - Companies are encouraged to establish dedicated motion capture environments to enhance data collection efficiency and client satisfaction, which in turn improves profitability [14][15]. - **Future Trends**: - Data collection will become increasingly essential in robotics development, driven by the need for extensive motion data to train models effectively. This trend is expected to support the growth of the industry [21][22]. - **Optical vs. Inertial Systems**: - The future of motion capture in China is likely to remain dominated by optical systems due to their superior accuracy and lower operational costs compared to inertial systems [23][24]. This summary encapsulates the critical aspects of motion capture technology in the robotics sector, highlighting its current state, competitive dynamics, and future trends.