Multiple values and application fields of binocular camera + six-axis IMU data acquisition

In the perception system of mobile intelligent agents, simple image acquisition can no longer meet the needs of autonomous decision-making. The dual camera and six axis IMU synchronize data acquisition, capturing visual pixels, 3D depth, inertial attitude, and motion information on the same time axis to form a multi-source heterogeneous perception dataset. This integrated collection solution is no longer just about "taking photos+measuring posture", but rather building a quantifiable and solvable spatial digital base for the device. Yinglongxin Intelligent Image Vision Series Modules achieve hard synchronous acquisition of binocular images, depth data, and six axis inertial data, providing high-quality raw perception data for algorithm development, product implementation, and scene verification.

The binocular camera is responsible for collecting left and right images, outputting scene depth through parallax calculation, and recording spatial geometric information of the external environment; the six-axis IMU integrates a three-axis accelerometer and a three-axis gyroscope, acquiring carrier acceleration and angular velocity at high frequency, and capturing the device's own tilt, rotation, vibration, and motion status in real time.

Core key: Timestamp synchronization acquisition is not simply merging two independent data sources, but triggering synchronization at the hardware level to ensure precise alignment between each frame of binocular images and the corresponding IMU inertial data at that time, eliminating fusion errors caused by temporal misalignment, obtaining high-quality VIO raw data sets, and supporting subsequent pose calculation, SLAM mapping, and 3D reconstruction.

Pure binocular vision: When encountering low light, texture loss, or obstructed scenes, depth calculation fails; When moving at high speed, the rolling shutter produces ghosting and the disparity matching fails. Single IMU: Long term integration will result in position drift, unable to obtain environmental spatial information, and can only perceive its own motion. Joint acquisition of binocular and IMU: Visual provides environmental spatial constraints and corrects IMU drift; IMU high-frequency fills the gaps between camera frames, and can continuously output motion status in occluded and weakly textured environments, greatly improving the stability of the entire perception system.

The synchronized collection of image, depth, inertia, and attitude raw data can be directly used for training, testing, and validation of VIO, SLAM, object detection, and obstacle avoidance algorithms. The R&D team can collect data based on real scenarios, optimize parameters, validate algorithm boundaries, reduce the gap between simulation and real environments, and shorten the development cycle of intelligent perception algorithms.

Based on synchronous data collection, real-time output of the device's coordinates, attitude angle, and motion speed in space is achieved through visual inertia fusion calculation. Enabling mobile devices to know 'where I am, where I am facing, and how to move' is the fundamental data source for autonomous navigation.

The entire set of data is synchronously stored, which can fully reproduce the entire process of equipment operation: environmental images, obstacle distance, equipment vibration, and posture changes. Once navigation abnormalities or obstacle avoidance failures occur, data collection and positioning issues can be replayed for product debugging, on-site fault review, and scenario evaluation.

Yinglongxin Intelligent Image Vision Module has completed camera calibration, camera and IMU external parameter calibration before leaving the factory, and can collect and synchronize multi-source data immediately upon opening the box. Customers do not need to build complex synchronous acquisition hardware, reducing the investment in calibration equipment and decreasing the development workload of hardware integration and data alignment.

Synchronize the collection of three-dimensional environmental information with robot body posture and shake data. Used for autonomous navigation, step detection, obstacle avoidance, and balance control; Simultaneously collecting a large amount of indoor scene datasets to support iterative optimization of robot perception algorithms and adapt to complex dynamic environments in homes, factories, and commercial buildings.

Airborne synchronous acquisition of image, depth, aircraft attitude, and vibration data. Support unmanned aerial vehicle autonomous obstacle avoidance, terrain mapping, tower inspection, and record perception data throughout the flight for route optimization, risk analysis, and ensuring low altitude flight safety.

Workshop AGV autonomous handling and dynamic obstacle avoidance; Three dimensional workpiece positioning of robotic arm. Collect dynamic scene data from the production line, identify material locations, and record carrier motion and vibration information to adapt to high-speed and multi obstructed industrial sites.

3D reconstruction of indoor and outdoor spaces, digital collection of real-life assets. Binocular acquisition of scene structure, IMU recording of device movement trajectory, rapid generation of high-precision point cloud model; AR devices rely on this set of collected data to achieve spatial positioning and virtual real integration.

Universities, AI laboratories, and algorithm companies serve as VIO/SLAM data collection devices. Collect standard datasets in batches under different lighting conditions, motion speeds, and complex scenes for algorithm comparison, performance evaluation, and model training.

Track inspection, pipeline inspection, and security mobile inspection terminals. Synchronize the recording of on-site images, target distance, and inspection equipment posture to achieve traceability of inspection data, assist in defect identification, and record on-site space.

✅ Hardware level time synchronization, aligning binocular images with IMU data timestamps to ensure reliable data collection

✅ Global shutter optional, no ghosting in high-speed motion scene acquisition, suitable for dynamic carrier data acquisition

✅ Factory pre calibration, internal and external parameter calibration completed, unpacking directly collects multi-source data

✅ Supporting SDK, supporting real-time output, storage and recording of raw images, depth, IMU data streams

✅ Customizable field of view, interface, frame rate, suitable for different carriers, computing platforms, and acquisition requirements

✅ Provide technical support to assist customers in completing data collection, dataset export, and algorithm integration

The synchronous data acquisition of dual camera with six axis IMU is not only valuable for hardware perception, but also for building complete digital information of environment and body motion. Multi source fusion data is not only the input for real-time autonomous decision-making of devices, but also the core asset for algorithm iteration, scenario verification, and fault tracing. With the rapid landing of various mobile intelligent agents, high-quality multi-source perception data collection will become a fundamental capability in the fields of robotics, drones, and industrial automation. Yinglongxin Intelligent Image Vision provides an integrated binocular+six axis IMU data acquisition module to assist customers in efficiently completing scene data acquisition and intelligent perception system implementation.