OmniScan 360 Industrial Vision System

360° Vision, Zero Blind Spots

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Project Overview

The OmniScan 360 Industrial Vision System is a sophisticated multi-camera inspection solution developed to address our client’s need for high-quality panoramic imaging in real time across demanding industrial environments. Featuring 360° visual coverage, superior IMU-based image stabilization, and real-time video stitching, the system enables our client to deliver capabilities that significantly outperform traditional handheld inspection equipment. This approach empowers our client to provide their end users with clearer data, accelerated operational workflows, and enhanced safety in challenging scenarios including high-vibration zones, robotic arm inspections, and drone-based assessments.

Full 360° Industrial Visibility

Ultra-wide multi-camera coverage with high-resolution 360° imaging for complete inspections.

Stable Vision in Extreme Vibration

Clear, blur-free video using IMU-driven stabilization in high-vibration environments.

Real-Time Processing & Connectivity

Low-latency stitched video, on-device AI, and fast wireless links for live industrial use.

Business Challenges

Our client faced significant industrial inspection challenges including high vibrations, blind spots caused by restricted field-of-view, operator fatigue from manual repositioning, and fragmented non-stitched data all of which reduced their inspection efficiency, accuracy, and safety in critical operational scenarios.

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

To address our client's inspection challenges, we built a 360° multi-camera vision system equipped with IMU stabilization, GPU-accelerated stitching, and real-time video 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.

Engineering Facts That Matter

Silicon Signals specializes in delivering vision systems, sensor fusion, and embedded solutions that help our client succeed in demanding industries.

Stabilization Accuracy
~ 0 %+
End-to-End Panoramic Latency
< 0 ms
Stitching Precision
0 px

Your industrial vision challenge, solved.

Our Track Record Speaks for Itself

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

Proven Outcomes

By eliminating operator fatigue, ensuring robust stability, and delivering smooth 4K panoramic video, we helped our client accelerate their inspection workflows by 40%.

Data Quality

95% less RMS pixel deviation; less than 0.2-pixel stitch error; no seams or ghosting apparent

Usability

Immersive live view; hands-free use on drones and robotics; operators don't get tired

Efficiency

30 frames per second of 4K panoramic video; less than 150 milliseconds of latency; inspection time cut by 40%

Robustness

IP67-rated, MIL-STD-810G certified; steadfast in heavy vibration, poor lighting, and restricted areas

Let’s build smarter, safer industrial inspection solutions together

If you're ready to create a powerful, stable, and comprehensive 360° industrial vision system, this case study shows what’s possible when engineering excellence and innovation come together.

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