标题: EINSTAR EZ GO AI Dual-Light Wireless Handheld 3D Scanner Launches at RMB 5,999 [打印本页] 作者: admin 时间: 2026-11-13 10:36 标题: EINSTAR EZ GO AI Dual-Light Wireless Handheld 3D Scanner Launches at RMB 5,999 Editor's note: A wireless handheld 3D scanner and a phone app are all you need to start scanning anytime, anywhere.
On November 12, 2026, Nanjixiong learned that EINSTAR, the consumer 3D scanning brand of leading Chinese 3D digitization company SHINING 3D, has officially launched the EINSTAR EZ GO, a new-generation AI dual-light wireless handheld 3D scanner. The official retail price is RMB 6,999. The limited-time launch offer is RMB 5,999, from November 11, 2026, at 00:00 through November 13, 2026, at 23:59.
As a major product in the brand's move into lightweight mobile 3D scanning, EINSTAR EZ GO removes the traditional 3D scanning constraints of computer processing power and a fixed workstation. It can use the computing power of a high-performance smartphone for 3D capture, bringing professional 3D scanning technology to individual creators in a new way.
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Breaking free from fixed workstations: a more flexible path to lightweight capture
Traditional 3D scanners have long been limited by hardware computing power and power supply requirements, and therefore have generally been used at fixed workstations. EINSTAR EZ GO takes a different approach from the two common consumer-scanner designs—relying on a computer or incorporating a costly onboard computing chip—and opens a new path to lightweight, flexible capture.
The device has a built-in Wi-Fi 6 module. For mobile work, users do not need to carry a computer: the EXStar Mobile App lets them scan, edit and process, and export data on a phone. A 5,400 mAh battery handle designed for mobile use provides up to 2 hours of operation, substantially increasing flexibility in the field. For professional jobs involving large datasets or high complexity, the scanner can also connect wirelessly to a computer and use its greater computing power. It is designed to cover the full range from lightweight portable capture to efficient processing of complex, large datasets.
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Dual light sources and three scanning modes for varied, complex scenes
Although EINSTAR EZ GO has a compact body, it is designed to provide professional-grade scanning performance. It combines a Class I blue laser with an infrared VCSEL light source and offers three scanning modes for different materials and environments:
• 30-line laser high-speed scanning: A maximum scanning speed of 1,150,000 points per second. Objects with rich features can be scanned without markers, allowing global data to be captured quickly.
• Single-line deep-hole scanning: The single-line laser mode is designed to capture deep-hole data, with a hole depth-to-diameter ratio of up to 4:1.
• Large-area infrared scanning: Uses invisible infrared light for eye-safe, comfortable operation. Scanning speed reaches 6,550,000 points per second, making it suitable for rapid digitization of medium and large objects such as people and sculptures.
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The scanner also uses precision dual-channel optical filtering. No additional filter needs to be installed, and capture remains stable in bright environments up to 80,000 lux. This supports outdoor work such as digitizing large sculptures and capturing plant and animal specimens.
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AI and cloud-based 3DGS Gaussian reconstruction for high-fidelity digitization of complex materials
Intelligent processing is a key capability of the EINSTAR EZ GO AI dual-light wireless handheld 3D scanner. It supports cloud-based 3DGS (3D Gaussian Splatting) rendering and reconstruction. After geometry and texture data are captured, the cloud computes a high-fidelity 3DGS model without using local phone or computer hardware resources. Scanning and background model processing can proceed at the same time. For complex materials that are difficult for conventional scanners to reproduce—such as hair, fabric, and plush toys—3DGS reconstruction can produce highly realistic digital models for game assets, VR/AR interactive content, and digital cultural-creative displays.
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The device also incorporates an AI real-time object-extraction algorithm. During scanning it automatically distinguishes the subject from the background and can remove unwanted background point clouds with one tap, reducing manual model-cleanup work and shortening the 3D modeling post-processing workflow.
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An open, compatible data ecosystem for a wide range of digitization and creation work
EINSTAR EZ GO supports major 3D data formats including STL, OBJ, PLY, 3MF, and ASC. Models can be used directly for reverse engineering, 3D measurement and comparison, and 3D printing, or uploaded to SHINING 3D's digital cloud platform for online storage, sharing, and display. Potential applications include repairing and reproducing collectible figures, personalized custom printing, digitizing plant and animal specimens for preservation, art and cultural-creative design and production, maker and science education in primary and secondary schools, and digital assets for film and games.
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The device supports Android, iOS, Windows, and macOS. Users can perform wireless mobile capture with a phone or connect to a computer for more advanced professional processing, combining mobile convenience with deeper professional workflows.
A more complete product lineup to make 3D digitization more accessible
EINSTAR has now established a tiered consumer 3D scanner lineup: the entry-level wireless EINSTAR 2, the higher-performance wireless EINSTAR Rockit, the all-in-one wireless flagship EINSTAR VEGA, and the new lightweight mobile EINSTAR EZ GO.
• EINSTAR 2 wireless handheld 3D scanner: An affordable entry-level model with 17-line parallel lasers and an infrared light source for most introductory scanning tasks. It supports wireless connection to a computer and scanning with a phone, and is aimed at beginners such as 3D printing enthusiasts and individual makers.
• EINSTAR Rockit wireless pocket handheld 3D scanner: A higher-performance wireless model combining 38-line crossed lasers, 7-line parallel lasers, and large-area infrared scanning for broad scene compatibility. Upgraded color-imaging hardware produces more realistic textures. It is aimed at studios and professional creators who need scanning efficiency and model quality.
• EINSTAR VEGA wireless all-in-one 3D scanner: An all-in-one flagship with a built-in computing chip that can complete the entire scanning workflow as a standalone device. Its highly integrated design is intended for professionals who need independent on-site operation and both performance and portability.
• EINSTAR EZ GO AI dual-light wireless handheld 3D scanner: A lightweight split architecture with a 30-line crossed laser, a single-line blue laser, dual infrared/laser light sources, and dual-channel optical filtering. It is designed for frequent outdoor scanning and mobile operators who value portability and cost-effectiveness.
With the launch of EINSTAR EZ GO, EINSTAR is further expanding the application boundaries of consumer 3D digitization. Building on SHINING 3D's accumulated expertise in 3D digitization, the brand says it will continue refining lightweight and intelligent scanning solutions, lowering the barrier to professional 3D digitization and helping more creators and educators preserve real-world objects as digital assets.
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About EINSTAR
EINSTAR is SHINING 3D's consumer brand focused on high-quality 3D object data capture and modeling. It draws on SHINING 3D's 20 years of 3D vision technology experience and serves the wider community of 3D digital creators. Through professional technology, a lightweight and easy-to-use experience, and accessible pricing, the brand aims to make 3D digitization more widely available. Its mission is “Technology for All, Empowering Digital Creation.” Building on industrial-grade technology, AI algorithms, and guided interaction design, EINSTAR aims to combine professional quality, ease of use, and value, making advanced 3D scanning accessible and helping creators turn real objects into digital assets.
AI-translated from an article by Xiaoruanxiong on Nanjixiong, originally published on 2026-11-12. Text and images retain the original source attribution. Read the original Chinese article
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