Spatial Programming

Spatial Programming

Global Design Solutions delivers spatial computation and machine vision solutions that connect real-world data with digital environments.
We process LiDAR, imagery, and sensor data to build 3D models, digital twins, and automated workflows for inspection, design, and analysis.

Spatial Machine Learning

Our spatial machine learning programs extract meaning from complex 3D and georeferenced data.
Capabilities include:

  • Object recognition and classification

  • Anomaly detection and feature tracking

  • Spatial clustering and forecasting

  • Model training using LiDAR and imagery

These models improve accuracy and reduce manual interpretation across design, construction, and inspection workflows.

Machine Vision Systems

GDS designs and deploys machine vision systems for industrial, manufacturing, and infrastructure applications.
Our systems perform:

  • Dimensional inspection and measurement

  • Geometry validation and quality verification

  • Automated part recognition and labeling

  • Defect detection in real time

These solutions increase speed, consistency, and accuracy while minimizing rework.

LiDAR and 3D Reconstruction

We convert LiDAR and photogrammetry data into high-precision 3D geometry for modeling and simulation.
Services include:

  • Point cloud registration and alignment

  • Surface and mesh reconstruction

  • Feature extraction and object isolation

  • CAD, BIM, and simulation preparation

Our 3D reconstruction process creates data models that integrate directly with engineering and visualization environments.

AR and Spatial Integration

We implement AR spatial computation systems and mapping workflows that bring physical spaces into mixed-reality platforms.
Capabilities include:

  • SLAM and visual tracking

  • Scene understanding and object mapping

  • Real-time data overlay for training or maintenance

  • Spatial simulation for digital twin environments

These tools enhance visibility and collaboration in live operational settings.

Indoor Positioning and Navigation

We develop visual and sensor-based positioning systems that provide precise location tracking where GPS is not available.
Applications include:

  • Smart facilities and logistics

  • Asset and personnel navigation

  • Indoor mapping and wayfinding

  • Location analytics and operational safety

Each system is configured for reliability in signal-limited environments.

Contract Skunkwork Teams and R&D Programs

GDS operates focused research and development teams for spatial computation workflows and algorithm testing.
Our programs deliver:

  • Proof-of-concept and prototype development

  • Algorithm design using multi-sensor point cloud data

  • Workflow validation for AI, LiDAR, radar, and IoT systems

  • Fast deployment paths from experiment to production

These skunkwork teams accelerate product testing and reduce time to market.

Sensor Fusion and Workflow Engineering

We unify LiDAR, imagery, radar, and positional data within common frameworks.
This creates consistent accuracy across platforms and provides a foundation for adaptive AI systems.
Benefits include:

  • Higher model precision and repeatability

  • Scalable spatial data pipelines

  • Improved automation and reporting consistency

Proven Execution

At Los Angeles International Airport, GDS completed a four million dollar glass installation without using the project contingency budget and with only twenty-five percent of the planned manpower.
The project met every schedule and quality requirement, saving the client millions.

Key Applications

  • Industrial inspection and automation

  • Digital twin creation and spatial modeling

  • AR visualization and navigation

  • Data analytics and spatial prediction

  • Edge spatial computation workflows

  • Real-time monitoring for infrastructure and facilities

  • Research and development in spatial algorithms

Our Process

1. Discovery
We review your objectives, datasets, and technical requirements to determine where spatial computation and machine vision solutions can create measurable value.

2. Proof of Concept
A small-scale model or workflow is built using sample data to confirm performance, accuracy, and integration.

3. Deployment Plan
Once validated, we define architecture, data pipelines, and compute strategy for full-scale implementation.

4. Production Integration
We deliver a working system ready for live use, including documentation, support, and training.

5. Continuous Improvement
We monitor performance, gather feedback, and refine algorithms to maintain precision and stability.

Schedule a Consultation

If you are exploring how AI, LiDAR, or spatial computation can improve performance and efficiency, schedule a 15-minute consultation and discovery session with our team.
We will evaluate your objectives, identify practical opportunities, and outline a scalable plan for deployment.

Bringing the physical into the digital allows organizations to streamline operations, eliminate redundancy, and scale with confidence.

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