Defense personnel need the highest performing tools that support their security missions. Advancements in image processing and video management need to keep pace with ever-changing threats and ongoing advancements in mobility and vehicle technology, such as unmanned aerial vehicles (UAVs).

Expertise in Image Signal Processing


  • Detection
    • Target Signture Matching Maximum Likelihood Matched Filter
    • Anomaly Detection
    • Spectral Processing
  • Identification—Model Based
  • Recognition—Model Based
  • Automatic Scene Understanding
  • Photogrammetry
  • Geometric Correction—Transformation to LLA


  • Tracking
    • Airborne, Land, Seaborne tactical targets
    • Closed Loop, Open Loop
    • Multiple Target Tracking, Track–While–Scan
  • Water Depth Mapping
  • Land Use Mapping
  • Subsurface Detection
  • Helicopter IFF
  • Image Compression
  • Power Line Detection for Helicopters
  • Radar, Monopulse Radar
  • SAR [Synthetic Aperture Radar]
  • Star Tracking
  • Optimized Image Displays


  • Linear Filtering Theory
  • Non-Linear Filtering:
    • Fuzzy Logic
    • Mathematical Morphology
    • Neural Networks
  • Classification:
    • Supervised
    • Unsupervised
    • Non-parametric
  • Statistics
  • Pattern Recognition
  • Hidden Markhov Models

COTS Hardware — Ruggedized

We make use of high performance, multi-core processors with a guaranteed upgrade path. We deploy these on compact form factor, industrial base boards with an industry standard mini-ITX or ETX layout, but customize the peripherals and connectors to increase ruggedness and thermal properties.

In order to achieve a greater level of environmental ruggedness, we deploy the computing hardware in a tough, shock proof, conduction-cooled chassis. We replace industrial connectors with MIL spec equivalents in order to deploy general purpose computing capability into military systems.

Market segment for rugged industrial embedded computers

GPUs — The New Massively Parallel Computers

In the last three years, commodity graphics processors (GPUs) have evolved from fixed-function graphics units into powerful SIMD processors. These streaming processors are capable of sustaining computation rates of greater than ten times that of a today's typical CPU.

Graph of Evolution of NVIDIA GPU Computing Power

Our engineers are working in the evolving field of general purpose computation on graphics processors (See have demonstrated mappings to these processors for a wide range of computationally intensive vision tasks.

Using the Vision4ce Gripworkx framework, we are able to stream video from analogue, digital and gigabit Ethernet cameras into the GPU texture memory for real-time processing and display, as well as some other useful high-level functions.

The Benefits of GPU Acceleration

  • 10x CPU bandwidth and computation
  • 3090 GFLOPS (GTX 680)
  • 192 GB/s memory bandwidth (GTX 680)
  • Highly parallel math intensive architecture
  • Thousands of threads
  • Tightly bound GPU memory
  • PCIexpress (x16) 16 GB/s
  • Tremendous scope for innovation and acceleration
  • Infinite flexibility in display options
  • Fast development times


We are constantly working on new capability within this rapidly changing field of research, harnessing the power of the GPU to massively accelerate processing tasks. The current GRIPworkx application framework can be configured to support and accelerate algorithms such as:

Vision4ce®, LLC
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479 Jumpers Hole Road

Suite 301

Severna Park, MD 21146


Tel: (410) 384-9181

Tel: (410) 384-9181

Veteran Owned Small Business Logo

Vision4ce®, LTD
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Unit 4

Wokingham Commercial Centre

Molly Millars Lane

Wokingham, RG41 2RF

United Kingdom

Tel: +44 (0) 118 979 7904

Tel: +44 (0) 118 979 7904