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OmniScan 360 Industrial Vision System

360° Vision, Zero Blind Spots

Overview

The OmniScan 360 Industrial Vision System is a challenging, multi-camera inspection tool that can take high-quality panoramic pictures in real time in tough industrial settings. It has 360° visual coverage, superior IMU-based picture stabilization, and real-time video stitching, which makes it better than regular handheld inspection equipment. The approach makes data clearer, speeds up operations, and makes them safer in difficult situations like high-vibration zones, robotic arms, and inspections done by drones.

Business Challenges

High vibrations, blind spots owing to restricted FOV, operator fatigue from manual repositioning, and fragmented, non-stitched data reduced industrial inspection efficiency, accuracy, and safety in critical situations.

  • Extreme Vibration-Induced Motion Blur: Consistent EIS/OIS didn't work well with high-frequency vibrations.
  • Limited Field of View: Single-camera systems caused blind spots and disjointed footage.
  • Manual Operation Fatigue: Recurring repositioning improved inspection time and operator strain.
  • Fragmented Data: Not being able to give stitched, real-time, panoramic footage for full context.

Silicon Signals’ Solution

A 360° multi-camera vision system featuring IMU stabilization, GPU stitching, and real-time pipelines.

IMU-Based Image Stabilization

ADIS16488 IMU + Linux IIO driver with EKF filters enables <50 ms EIS using DSP/GPU acceleration.

Multi-Camera Stitching

Four synced 12MP global shutter cameras stitch real-time panoramas with GPU-accelerated pipeline.

Custom GStreamer Pipeline

Unified real-time pipeline handles ISP, stitching, and 4K H.265 RTP streaming in a single flow.

System Optimization

Hybrid DSP/GPU/CPU with DVFS delivers modular software design and 8+ hours of efficient battery use.

Company Facts

Vision systems, sensor fusion, and embedded solutions for demanding industries are Silicon Signals' expertise.

Lower Operational Costs
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Improved Productivity
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Better Data Accuracy
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The right solution starts with the right conversation.

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Tech Stack

Hardware

Qualcomm Snapdragon 888 SoC, Sony IMX392 sensors, Analog Devices ADIS16488 IMU

Software

Embedded Linux (Yocto), Linux Kernel 5.10 (PREEMPT_RT), Custom IIO + ISP drivers

Middleware

GStreamer, OpenCL, RPMsg (where applicable), OpenCV (for calibration/stitching logic)

Connectivity

Wi-Fi 6, Bluetooth 5.2, optional 5G/LTE

Key Benefits 

Fatigue-free operation, sturdy stability, and smooth 4K panoramic video enabled 40% quicker examinations.

  • Data Quality: 95% less RMS pixel deviation; less than 0.2-pixel stitch error; no seams or ghosting apparent
  • Efficiency: 30 frames per second of real-time 4K panoramic video; less than 150 milliseconds of total latency; inspection time cut by more than 40%
  • Usability: immersive live view; hands-free use on drones and robotics; operators don't get tired
  • Robustness: IP67-rated, MIL-STD-810G certified; steadfast in heavy vibration, poor lighting, and restricted areas

Download the case study here!

    Best Practices

    Key Best Practices in Designing Industrial 360° Imaging Systems for Stability, Efficiency, and Reliability.

    • Sensor Fusion Must Be Real-Time: DSP offload and exact clock sync are very important when there is industrial vibration.
    • Camera synchronization is a must: For stitching without artifacts, hardware must be in sync with sub-ms accuracy.
    • Balancing Latency vs. Accuracy: Hybrid filtering lets you stabilize things quickly without losing the ability to rectify long-term drift.
    • GPU/DSP Workload Tuning: Profiling and isolating the EIS and stitching pipelines make sure that the work is done in real time.

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    Interested in collaborating with Silicon Signals on your next big idea? Please contact us and let us know how we can help you.