SECTION 01 Industry background: 2026, smart Quantum years and data bottlenecks

In 2026, the smart market is expected to be a global market for smart people, based on Grand View Research data.39.7 per cent annual compound growth rateThe expansion will continue, reaching $67.630 billion by 2033.1,100 million yuanThe Ministry of Industry and Communications predicts that the entire Chinese robots will be able to make a breakthrough in their entire year 2026.10万台This same year, the increase was over 500%. Vice President Tesla, Tourey, also announced at the Global Digital Economics Congress 2026 that Optimus would officially launch scale production by the end of 2026.

However, with the rapid production of the hardware matrix, the industrial bottlenecks have been fully shifted to数据端The global smart data market was about $242 million in 2025, but the supply of quality training data was as high as the one that was available.99%Directly remotely operated robots collect single track costs, manually.百倍量级And the third person claims that the model's ability to extend is significantly reduced when the material is moved to the first person in the robot. The fine-species time synchronized multimodular data, and the high-efficiency label of long-volume tail data, is a central challenge facing the industry as a whole.

In February 2026, the Human-Standard and Smart-Standard System (2026 editions) was officially launched, the first national top-level standard to cover the entire industrial chain. In June, the Ministry of Industry and Communications, together with the State Treasury Committee, launched the "Ego data collections for 2026, with the aim of consolidating over 100 high-value applications by the end of the year, leading to a drop-down of 10,000-scale stations. At the World Congress of artificial intelligence in 2026, the ants' lumbar, Jijimoto Bot World, and EgoKit, a group of Egokit-Smut-Smut-Sense, were brought together to mark the official launch of the event.

SECTION 02 Product matrix: three self-research machines + two types of ecological accessories

Lian Huitech, based on a deep understanding of the need for smart data acquisition, has launched a complete data base from hardware to software. The package follows the four-tiered structure of "hardware matrix operating platform labeling platform data delivery" to achieve vertical access to the entire data production chain.

E6 Lightweight head-on header and extraction equipment (mass produced)

E6 is the lightweight-sized Ego data acquisition device that is produced under the banner of Longhui Tech.Hightower XR2 Gen1 chip(7nm process, NPU calculator 15 TOPS), equipped with a 6-road, real-time, synchronized camera - 4-wide, greyscale, 4-way, 4-way, 640x480@60FPS, with infrared recognition, 4-way total FOV level 217x186 degrees vertically) and 2-way RGB camera (support for two versions of the roll-drape and global, fast-gate) all achievedMicrosecond hardware time sync。

In the sensor area, E6 contains a high accuracy IMU inertial sensor (sampling frequency 1000Hz), with only absolute track error of SLAM5毫米The whole machine weighs 370g, with a reweighted design, and a 5,500m Ah-inline battery supports continuous collections over eight hours. The 8GB running memory + 128GB body storage supports WiFi 6 and Bluetooth 5.3, all data interfaces are open to the public, facilitating academic research and secondary development.

E8 Multi-mode-type flagship-numbered equipment (September 2026)

E8 is located in a scientific-grade flagship.Hightower XR2 Gen2 chip(4nm process, calculated up to 48 TOPS), with 10-line camera in real time and hair - 4-Land Greyscale + 6-Land RGB + TOF depth perception, total view field angles270度Panorama view overlay. SLAM position accuracy raised to1.5毫米(Scientific level) The mainframe weighs only 120 g (wholly 280g) and is fully loaded with only 5 W, supporting SD card extensions and Android 14 systems.

The E8 10-line video sets are hardware-grade time synchronized, with external access to the fully-attended capture module, the ideal hardware platform for the construction of high-precision multi-modular integrated data sets. The product is expected to be produced in September 2026.

E2 Industrial headheads, digital equipment (mass)

E2 uses a light header-based design with a multi-direction sensor array with 10-12 lenses to achieve a multi-directional environmental perception. Similarly, the XR2 Gen1 chip, SLAM, is a 1.5 mm scientific class that supports the cross-hand and gesture interaction and is suitable for academic research and high-precision industrial data collection.

Eco-parts: wrist camera + LIGHT CLASSING MOUNTAIN

Wrist camera.A 100g superweight wearable collection device with a full-scale fast-door camera of 1280 x 1024 resolution (30/60 fps optional, V148°/H174°) to support infrared locator lamps and time synchronization (less than 1 m). In July 2026, prototypes were provided, with official production in August.

LIGHT CLASSING MOUNTAINThe module is expected to produce in September 2026.

SECTION 03 Platform tool chain: APP mobile phone, operating platform and AI label platform

Long Huitech not only built a complete collection device matrix at the hardware end, but also complemented three main software tool chains covering equipment control, data management and labelling delivery, leading to digital closure from collection to delivery.

At the end of the label, the Lan Hui self-study AI label platform has achieved the effective closed loop of "AI premark + manual check review": data collected are automatically returned to the tab platform (support break-up transmission), AAI is automatically completed with premarks (more than 10 times efficiency increase), and professional label teams conduct a check to review the accuracy of the label. The platform supports the level 2 scenario label system, covering multidimensional definitions of actions, tasks, etc., providing data-syntax smart resolution and cross-mode syntax consistency verification, while supporting the custom label system, and the data delivery format is aligned.Open X-EmbodimentStandard, open the box.

SECTION 04 Manufacturing security: Shenzhen Stone Intelligence Base, 20 million stations per year

The hardware manufacture of Rhang Hui technology is based on the Shenzhen Stone Production Headquarters, with a plant area of 650,000 square metres equipped with 17 SMT fully automated production lines, with an intelligent terminal capacity of 20 million stages per year, and a 3,000 square metre testing centre laboratory covering full life-cycle quality testing - from the marking of the IMU, the testing of the plant's functionality, the ageing of the tests to material analysis, precision optical measurements, the chip level tests, and the reliability and data accuracy of each delivery equipment.

SECTION 05 Site coverage: 4 major scenarios for retail/industry/services/logistics, 100+ collection sites

Long Hui has accumulated more than all over the country.100 collection sitesThe real operating environment, which goes into the four core scenarios, is the real operational collection of each data from the first person ' s known perspective:

SECTION 06 Standard data set products: six major categories, open and open

Based on self-study equipment and professional collection teams, Long Huitech has built six standard dataset product matrices covering the full dimensions of data needs from robotic trajectories to world model training:

SECTION 07 Why Luang Hui: One-stop smart data partners

Long Huitech is not just a data provider, but a full chain partner from data strategy to delivery. "Three self-study equipment, own platform, own label team" guarantees the quality of delivery and speed of response.

As Tesla Optimus's volume of production in 2026, the continued rise in the volume of Uknob and the arrival of intellectual robots, and the advancement of the Man-Tai goal of the Ministry of Industry and Communications, the "data hunger" of the smart industry will increase. Longhui technology, with Ego’s first-person-named data acquisition as its core path, is becoming a major player in the area of smart data infrastructure, with the advantage of "hardware+platform+notation+delivery" as a one-stop closed loop.