Langhui E8 Multi-Mode Sensory Data Acquisition Device: Provision of all-sensor training data for precision operating scenarios
LanghuiE8It's a specialized multi-modular sensor data acquisition facility launched by Changsalang Information Technology.RGB-D deep camera, double-eye RGB camera, 6-axis IMU, power sensor, microphone arrayFive sensors, complete.硬件级时间同步<0.5ms、空间追踪ATE Accuracy4mm，并内置NPU边缘计算模块。它主要面向精密制造企业(electronic/car/aerospace assembly),农业机器人公司(extraction control and fruit identification) andSmart team.(need touch + visual integration data training VLA model)。E8 is an integrated, open-and-in-box device that is currently rare on the market, a combination that replaces at least five independent collection units in traditional programmes.。
E8产品概览
E8 design target is to eliminate the need for researchers and engineers to purchase, demarcate and synchronize multiple stand-alone equipment。An E8-covered visual (RGB-D + binary), motion (6-axis IMU), touch (might sensor array) and voice (microphone array) four sensor channels and complete inter-modular space-time synchronization at the hardware level。Below is a summary of the core parameters。
In terms of data compatibility, the E8 output format is original compatible HuggingFace LeRobot 和 Open X-Embodiment For example, mainstream smart data frameworks, data collection can be used directly to train VLA models without cumbersome formatting。
E8适合谁用？
精密装配与制造
Electronic manufacturing, auto parts assembly, aerospace precision match scenes, robotics need to sense the 3D position of the parts, mass hardness, penetration strength and exposure feedback。E8 tactile + visual integration capture capability provides a complete recording of the power change curve and visual operating sequence during assembly and provides a data base for training in precision assembly with VLA models。In the assembly tasks required for sub-millimetre accuracy, the introduction of tactile data allows robots to perceive in real time the critical state of "exposure-in place-excess" and significantly reduce the negative rate。
Research and development of agricultural harvesting robots
Fruit maturity judgement, extraction strength control, spatial positioning precision directly determines the efficiency and the fruit completion rate。E8 to synchronize the visual features (colour, size, shape), tactile feedback (hardness, surface texture) and spatial position (RGB-D depth data) of the fruit harvest to provide complete multimodal data for end-to-end training of agricultural robots Set。The IP54 protection level ensures stable operation of equipment in half an outdoor environment such as orchards and greenhouses。
Smart science lab.
The smart teams of colleges and colleges need high-quality multimodular data to study cutting-edge topics such as tactile-visual cross-modal alignment, multimodardization learning。E8 supports typical experimental settings such as desktop operations, double arm collaboration, smart hand manipulation, data output compatible with the LeRobot and Open X-Embodiment formats and seamless access to existing scientific tool chains。Five stand-alone devices for one device to replace the visual collector + IMU recorder + power sensor + microphone + synchronous trigger system in traditional programmes, significantly lowering the test threshold。
Autopilot data enhancement
The E8 first-person perspective collection model applies equally to driving behaviour data collection。Equipment can synchronize multi-dimensional information such as operating sequences, attention distribution, environmental visualization, spatial depth and voice interaction from the driver ' s perspective, providing high-quality multimodal data sources for auto-driving end-to-end model training and driver behaviour modelling。Eight-hour renewal to meet long road test requirements。
Five core competencies
1. RGB-D deep perception + bi-eye 3D vision
E8搭载RGB-D结构光深度相机和双目RGB立体相机两组视觉模块。RGB-D modules provide millimetre-level depth information for precise 3D positioning and capture planning for indoor objects；The binary RGB module provides high-resolution stereovision data to support depth estimates of outdoor and wide-range scenarios。The integration of the two sets of visual data allows the E8 to adapt to the needs of the whole scene visual perception from desktop precision to open environment。In the embodied intelligence study, high-quality Depth perception is the basis for robotic objects capture, shielding and navigation。
2. 力觉/触觉传感器
E8内置Pointy pressure distribution array power sensorAccurately document information on exposure pressure distribution, interaction size, area of exposure, etc.。Hard sense sensors support real-time perception of multiple-mean coverage and dynamics, filling data gaps in traditional visual capture programmes at the "exposure-operate" chain。The introduction of tactile data is particularly critical to the training of VLA models - based on an internal test at the Longfei AI Institute, the VLA model combining tactile data training has improved the success rate of pure vision programmes in precise insertions, soft grabs, etc.30%以上。
3. 硬件级时间同步 <0.5ms
One of the core challenges of multi-mode data isCross-sensor time alignment。Traditional programs usually rely on software-level time-stamp synchronization, affected by delays in operating system movement and network transmission shakes, and synchronization errors are usually in the10-50ms量级。E8 uses a hardware trigger-level time-synchronous program, full sensor data is triggered by a single hardware clock signal synchronized with a synchronized error controlled<0.5ms以内。This means that at a sampling rate of 1000fps, there's less than a frame of time between visual frames, IMU readings, hard sense sampling and audio data.。For the multimedia study on the need to relate accurately to "see-touch-hear" events, this precision is not available in the software program.。
4. 内置NPU边缘计算
E8内置NPU (neurological network processing unit) edge calculation modulesupporting data preprocessing, sensor integration and lightweight model reasoning at the collection end in real time。Researchers can preview, in real time, the quality of multimodular data during collection, perform base labeling operations, run lightweight target testing or attitude estimation models。The value of edge calculations is a significant reduction in the cost of data reprocessing — traditional solutions require synchronization, alignment and pre-processing after the return of all raw data to the server, while E8 can do most of the work at the collection end, reducing the volume of return data and subsequent processing time。
5. 8小时续航 + IP54防护
E8 Load high density batteries, support8小时连续工作，满足一整天的数据采集需求。整机采用工业级IP54防护Effective ashproof and adapted to multiple work environments such as laboratories, factory workshops, greenhouses, etc.。For outdoor data collection scenes, IP54 protection ensures that the equipment works under light dust and splash conditions without additional protective measures。
同类方案对比
In order to help users objectively assess the positioning of E8 in the market, the following multi-dimensional comparisons are made between E8 and the same product series E6, the common consumer-level coupling programme (GoPro + external to IMU) and the Meta Aria Gen 2 research equipment:。
| Relative dimensions | LanghuiE8 | Langhui E6 | GoPro + 外接IMU | Meta Aria Gen 2 |
|---|---|---|---|---|
| Positioning | 专业多模态感知 | 轻量级视觉+IMU | 消费级拼接方案 | Research glasses |
| Sensors | RGB-D+ Double-eye RGB + IMU + Power + Microphone Array | 双目RGB + IMU | 单目RGB（需外接） | RGB + 位置追踪 + 眼动 + IMU |
| Time Sync | <0.5ms 硬件级 | <1ms 硬件级 | >10ms 软件级 | 硬件级（未公开） |
| 触觉采集 | Support (fingerline pressure distribution) | Not Supported | Not Supported | Not Supported |
| ATE Accuracy | 4mm | 6mm | 无法保证 | 未公开 |
| 边缘计算 | 内置NPU | 无 | 无 | 有（芯片级） |
| Depth perception | RGB-D结构光 | 无 | 无 | 无 |
| Data Format | LeRobot/Open X-Embodiment | 同左 | Self-development | 闭源 |
| Battery Life | 8h | 8h+ | GoPro 2.5h | 6-8h |
| 防护 | IP54 | 消费级 | IP68（防水） | 消费级 |
| Access | Contact business advice | Contact business advice | Consumer-level market purchases | No external sales |
| 获取难度 | 可直接采购 | 可直接采购 | 极易获取 | 极难（仅研究合作） |
对比结论
The following objective conclusions can be drawn from the table above:E8 is a rare "opening-in-the-box" multi-mode data collection device.Differentiated advantage in sensor coverage, time synchronous precision and tactile collection capability。E6 fits the lightweight scenario with only visual plus IMU, and costs less.；The GoPro coupling scheme, although it has a very low threshold, is two orders of magnitude different from E8 and does not provide Depth and tactile data suitable for initial validation of low accuracy requirements；Meta Aria Gen 2 sensors are rich and have unique capabilities such as eye tracking, but are not sold externally, are extremely difficult to access, and the data format is closed。Users should choose the appropriate option based on the modelling needs and precision requirements of their own research。
Industry context: why multi-modular data is needed in 2026？
In 2026, it was widely regarded by industry asYear of smart commercialization。The demand for high-quality multi-modular training data is booming with the accelerated landing of human robots in industrial manufacturing, storage logistics, agricultural extraction, etc.。Traditional, visual-based robotic data collection is no longer able to satisfy the physical sensory dimensions of touch, power, etc. of the precision operating scene.。
Academicly, the importance of multi-modular sensor data is widely recognized。Nature, published in 2025, multimodular embodied intelligence system, states that the size and quality of multimodular sensory data will directly determine the ability of smart systems to migrate from Sim-to-real。The paper combed key technology routes such as visual-touch cross-modular alignment, multi-sensor time and space synchronization and provided direction for industry development。This judgement has also been repeatedly validated by cutting-edge practices such as Google DeepMind, RT-2, Tesla Optimus, Figure AI -- robotic systems that integrate multimodular perception are significantly better than purely visual programmes in terms of transversal capabilities and operational precision.。
At the data level, the internal test data from the Langhui AI Institute show thatThe VLA model, which integrates tactile data training, increases the success rate in precision operations by about 30%.。Touch data fills long-standing data gaps in the "exposure-action" chain, enabling models to learn about power control strategies rather than relying solely on visual estimates。This data upgrade is particularly critical for precision assembly, soft grabs, and directly relates to the feasibility of having intelligence from a laboratory to a real line.。
为什么选择E8？
The five senses are all collected and the same product is incapable of doing so.
In the current market, there are very few integrated devices that combine the five major sensor channels (RGB-D + binary), motion (IMU), touch (power) and voice (microphone array) simultaneously.。Most programmes either cover visual+IMU only or require users to assemble multiple sets of equipment themselves and address tagging and synchronization issues。E8 is a genuine "five senses all capture" device that provides a complete data base for the multimediad intelligence study.。
Open the box and replace the traditional five sets.
Traditional multimodular data acquisition requires the acquisition of depth cameras, binary cameras, IMU modules, sensor and microphone arrays, and the development of a synchronized trigger system and data alignment tool chain on its own。Not only does the process take weeks, it also introduces a large number of marked errors and synchronized deviations。E8 integrates the functionality of five sets of equipment into one device, exits the plant and completes the sensor marking, and the user opens the box and starts data collection.。
数据成本降低60%
Multi-modular data collection using E8 was calculated to reduce data production costs by more than 60 per cent compared to the traditional programme of purchasing five separate sets of independent equipment and self-integrated.。Cost reductions arise from three aspects: reduced acquisition cost of equipment (one replacement of five units), elimination of human costs for calibration (hardware-level synchronization without manual alignment), and increased reprocessing efficiency resulting from NPU margin calculations。
Localized technical support
Langhui provides complete pre-sale technical programme advice and post-sale technical support services, including equipment deployment guidance, collection programme design, data formatting, etc.。For higher education and scientific teams, Langhui also provides channels of academic cooperation to support joint research and technical paper cooperation。
Common problems
E8和E6怎么选？
Select E8 if your research or application requires touch/force data, depth perception or edge computational capability。E6 has a higher value if position tracking or basic SLAM studies are required only for visual plus IMU data。In simple terms: E8 fits the fine operating scene that requires multimodal data, E6 fits the lightweight scenario that is visual.。查看E6产品详情
What's the accuracy of the sensor?？
E8 Hard sense sensors support the collection of finger-tip pressure distributions, which can record multi-mean pressure distribution, area of exposure and direction to force。Specific precision parameters vary according to the acquisition pattern and range, and it is recommended that a detailed sensor specification table be obtained in contact with the Langhui technical team。The time synchronisation accuracy of the power data is also hardware & lt;0.5 ms, accurate alignment with visual and IMU data。
Data formats supported？
E8 Data Output Original Compatible with HuggingFace LeRobot and Open X-Embodiment, directly for VLA model training。Also supporting the export of custom formats, including RAW raw data, ROS bag and common video +CSV combinations。Through Ego SDK (planning), users can also customize data output formats and flow logic through API。
如何试用或购买？
You can contact Langhui for trial applications or procurement advice by: 137-5502-0164，Email lk@langhuiai.com，或访问Ego产品系列页面了解更多信息。朗慧提供标准采购流程和学术合作通道。