深圳见得空间科技有限公司

见得空间(Seeget Space)是2022年创立于深圳的一家专注于全场景轻量级一站式3D数字化、空间智能感知与计算的科技公司,用创新的产品和高质量的服务提升人们的生活品质。
發展階段|STAGE OF DEVELOPMENT: Growth & Scaling
團隊成員|Team Member(s):

姚劍 06研究院電子工程學哲學博士

  • Introduction to Seeget Space

Seeget Space, founded in Shenzhen in 2022, is a technology company focusing on full scene lightweight one-stop 3D digitization, spatial intelligent perception and computing, which improves people’s quality of life with innovative products and high-quality services. Seeget Space also provides a series of enterprise services such as 3D visualization and editing cloud platform, end cloud collaborative perception and interactive positioning, distributed high-performance cloud computing, deep learning technology and product solutions, so as to support partners to easily realize the digital transformation between the real world and the virtual world and promote the rapid development of their business. The core members of the Seeget Space team are masters and doctors from top universities at home and abroad, such as the IDIAP Research Institute in Switzerland, the Chinese University of Hong Kong, the Hong Kong University of Science and Technology, Wuhan University, Peking University, Huazhong University of Science and Technology, the Central Academy of Fine Arts and so on, In addition, they have deep technological accumulation and successful experience in industry, university and research among high-tech leading enterprises in relevant fields. They have also participated in many high-tech start-ups and helped them make great achievements in product technology, market promotion, capital financing and other aspects.

  • Applications:

Communication: Breaking through the two-dimensional limitations of the communication barrier through the form of AR/VR/MR, truly realizing the multi-dimensional communication like science fiction movies using 5g/WiFi communication, bringing unlimited possibilities for mobile communication, and letting the intelligent life enter the homes of ordinary people.

Digital Twin: Using 3D reconstruction, 3D visual interactive engine and other technologies to carry out realistic 3D digital modeling of industrial scenes and scenic cities, establishing the relationship between real-time parameters / planning index data / real-time statistical data of various scene objects and IoT sensors, and providing auxiliary decision-making tools for scientific planning of industrial management and scenic city governance.

Museum & Heritage on Digitization, Digitalization, and Digital Transformation: Historical relics, exhibition hall, and historical meeting sites can be realistically reconstructed in the three-dimensional space through various acquisition systems consisting of images, panorama, RGB-D images, LiDAR point clouds, etc. These 3D data can be viewed and navigated through the web, 3D glasses / AR systems. The spatial positioning technology is applied to realize the perfect superposition of virtual and reality, so as to realize the interaction between virtual and reality.

Science, Education, Culture, and Entertainment: Empowering the science, education and entertainment industries with the dynamic and static three-dimensional reconstruction technology of object and character scenes, connecting the 3D contents to AR teaching, AR games, AR shopping and AR social scenes, and greatly enriching the classroom teaching forms, stage performance forms and social shopping experience.

  • Core Technologies

3D Reconstruction: 1) Flexible and diversified large-scale acquisition schemes; 2) Efficient and accurate sparse / dense spatial map construction; 3) High fidelity and high precision 3D modeling; 4) Stable and reliable cloud SaaS modeling service.

3D Visualization & Editor: 1) 3D visualization scheme across terminals and platforms; 2) 2.5D visualization solutions for small and medium-sized scenes; 3) Large scale scene dynamic LOD visualization; 4) Efficient and intelligent AR/VR content editing cloud platform.

 

Augmented Reality (AR): 1) Cloud based image recognition and retrieval service; 2) Recognition, positioning and tracking of images and objects; 3) AR spatial map construction of large-scale scenes; 4) Stable, accurate and fast end-cloud collaborative positioning service; 5) Strong AR ecological integration capability.

Artificial Intelligence (AI): 1) Cloud-based sematic and instance segmentation from images and LiDAR point clouds; 2) Accurate and real-time human body recognition and skeleton tracking; 3) Finger keypoint precise positioning and gesture recognition and tracking; 4) Face recognition and face multi-keypoints and real-time posture tracking.

如何解決市場痛點 | RESPONSE TO MARKET PAIN POINTS:

Seeing Space mainly focuses on real world 3D digital reconstruction and 3D data services, supports consumer level acquisition terminals and self-developed acquisition terminals to obtain data, provides customers with one-stop solutions for full scene Iterative reconstruction at the object level, indoor space level, outdoor large-scale scene level, and supports interactive display applications of 3D model cloud editing and Web, mobile, desktop, AR/VR intelligent terminals, Committed to building an industry-leading full scene 3D digital intelligent reconstruction and computing service platform.

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