Develop Computer Vision & AR Solutions

Solve Industry Bottlenecks with Visual Intelligence

We develop specialized computer vision and AR solutions customized to specific business needs. From manufacturing floors to medical facilities, our solutions enhance precision, accelerate learning, and improve decision-making wherever visuals drive value.

Reduce Defects

Precisely detect and correct production defects in real-time, minimizing waste and downtime.

Accelerate Training

Interactive AR-driven training shortens learning curves, ensuring quicker mastery of critical skills.

Optimize Maintenance

AR-guided systems help technicians quickly identify issues and perform accurate maintenance tasks.

Enhance Customer Engagement

Improve customer interactions with immersive experiences, boosting satisfaction and loyalty.

Computer Vision App for Automotive

A proof-of-concept AR try-on app for automotive parts, built with ARKit and Unity. The project addressed a key industry challenge: delivering a stable, high-quality AR experience in unpredictable lighting and environments. We trained a custom AI model with on-device object recognition for better performance compared to cloud processing. Extensive testing with LiDAR and AI improved object recognition and positioning accuracy.

The solution revealed opportunities to boost AR performance through better AI models that improved the user experience. For companies exploring AR in complex settings, this project showcases how to use AR and achieve reliable, high-impact applications.

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"Partnering with Nomtek on our fencing video-analysis project exceeded every expectation. Their team built a fully customized machine-learning model that recognizes and classifies fencers’ movements in real time - no markers or sensors required. Coaches and athletes will soon have the ability to receive instant feedback, fine-tune technique with precision, and track progress quantitatively. We are excited to continue building the AI model onto an application with the Nomtek team to elevate our training quality, competition preparation and performance results. We highly recommend Nomtek to anyone seeking a dependable computer-vision and AI partner."

Aleksandra Shelton, Co-Founder at BiaVis

Industries we Build For

We deliver computer vision and AR solutions that solve unmet industry challenges, improving operational efficiency.

Manufacturing

Improve quality control on production lines using computer vision models. Use AR to streamline training, assembly guidance, and maintenance.

Healthcare

Enhance diagnostic accuracy and procedural guidance through advanced AI vision and AR for real-time surgical support.

Retail

Integrate object tracking and image classification solutions to optimize inventory management, enhance customer experience, and secure premises.

Aviation

Accelerate aircraft inspections and maintenance tasks using AR overlays, ensuring accuracy and reducing downtime.

Our Process

Discovery & Scoping

Clarify your specific challenges and identify high-impact computer vision applications.

Solution Design

Specify technical and business requirements for robust and scalable systems.

Model Development

Train deep learning models on your data or publicly available datasets for accurate vision tasks.

AR Experience Development

Create engaging AR applications tailored to your user base and operational context.

Integration & Deployment

Seamlessly integrate and deploy solutions on-premises or via cloud platforms.

Support & Iteration

Monitor performance, gather feedback, and continuously refine for optimal outcomes.

Technology & Integration Options

We select best-fitting technologies for your product and integrate with existing cameras, sensors, and edge devices. The goal: reliable, real-time performance for your specific environment.

Object Detection

OpenCV and YOLO — accurate, fast object recognition for demanding use cases.

Augmented Reality

Unity, Unreal, ARKit, ARCore — great AR experiences across mobile and wearable devices.

Edge Computing

Low-latency AI processing for environments where speed and offline capability matter.

Security, Compliance, and On-Device Processing

Visual data often contains personal or sensitive information. We design solutions with security and privacy at the core. When hardware integration is involved, we also assist with legal agreements and compliance across third-party devices and data sources.

ISO-compliant development practices for data protection and risk management
On-device processing options to keep sensitive data local and reduce cloud dependency
Support for privacy-first architectures and GDPR alignment

Why Nomtek

We help companies unlock the full potential of computer vision and AR—grounded in technical depth and real-world delivery. Our team combines expertise across AI, AR, hardware integration, with legal and security aspects aspects to build reliable, compliant solutions that perform in production.

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Cross-Sector Experience

Extensive cross-sector expertise in AI and AR solutions, with over a decade of experience delivering computer vision and augmented reality solutions across sectors such as manufacturing, healthcare, retail, and aviation.

Proven Delivery

Track record of launching high-impact AI and AR products globally — solutions that operate at scale in demanding environments.

Hardware & Integration Know-How

Hands-on experience integrating third-party cameras, sensors, and IoT devices. We also assist with legal agreements to cover data rights and device partnerships.

Privacy & Compliance

Deep understanding of data privacy, GDPR, and legal frameworks for AI. We design systems that align with strict regulatory and security requirements.

Cooperation Types

We recommend a cooperation model based on the scope and technical requirements of your project.

Time & Material

Best for complex integrations and evolving needs. Used when:

Hardware variability is high
Integration requires ongoing validation and testing

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Fixed Price

Ideal when goals are clearly defined and stable. Used when:

The scope is narrow
The requirements are fully specified

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Frequently Asked Questions

Dedicated team

Unpack your idea with dedicated feasibility agents. A team of three experts will work on all angles to check technical feasibility and prepare an initial roadmap. Each iteration lasts one week.

High transparency

The whole process is highly transparent — you’re in the loop at every moment. If the first week reveals additional areas for exploration, we continue iterating. This way we generate enough valuable data to speed up your decision-making.

Rich deliverables

Deliverables — Every tech feasibility sprint ends with a report, roadmap, or prototype, depending on the duration of the workshop and our findings.

Custom Process

Throughout the workshop, we integrate custom processes crafted using collected insights and internal expertise. A tailored approach is optimized for confident execution in the later stages.

Can computer vision improve agricultural efficiency?

Yes, computer vision provides detailed analysis of crop health through image processing, allowing farmers to proactively manage fields, optimize yields, and reduce resource waste.

How does computer vision impact retail operations?

Computer vision enhances retail operations by automating inventory management through object detection and tracking, streamlining operations, and improving customer experience.

What role does computer vision play in healthcare diagnostics?

In healthcare, computer vision technology supports early disease detection and diagnostics by accurately analyzing medical images, enabling quicker and more precise medical interventions.

How can computer vision improve quality control in manufacturing?

Computer vision solutions offer precise visual inspection, detecting subtle defects on production lines rapidly, thus significantly improving quality control.

How is AI used in computer vision?

AI enhances computer vision by utilizing deep learning models to analyze images, automate visual inspection processes, and execute complex vision tasks with high precision.

Which software is best for computer vision?

The best software depends on specific needs; popular options include platforms specialized for vision AI like OpenCV or commercial computer vision platforms such as Azure.

What are computer vision solutions?

Computer vision solutions use artificial intelligence and deep learning models to interpret visual data, facilitating object recognition, visual inspection, and object tracking.

How does computer vision work with edge devices?

Computer vision models can run directly on edge devices — such as cameras, smartphones, or industrial sensors — allowing real-time image and video processing without constant cloud access. This reduces latency, increases privacy, and enables AI use in environments with limited connectivity.

Which is better, NLP or computer vision?

They serve different purposes. NLP (Natural Language Processing) is used to analyze and interpret text and language data. Computer vision is designed to process and understand visual inputs such as images or video. The choice depends entirely on the type of data and business need.

What does computer vision do?

Computer vision technology enables computers to analyze images and interpret visual data similarly to human vision, turning visual inputs into actionable insights.

What are computer vision services in Microsoft Azure?

Computer vision services in Microsoft Azure provide APIs to analyze images, video data, and digital images, performing tasks like object detection, image classification, and optical character recognition.