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Computer Vision

Transforming Visual Data into Smart Insight

At Kodevent, we turn images and video into actionable intelligence. Our Computer Vision experts develop automated visual systems that boost efficiency, accuracy, and safety across industries - from defect detection to facial recognition and autonomous workflows.
Let's Talk Vision Get a proposal

Explore Our Computer Vision Expertise

Embedding vision-based automation early in your project saves time and money. Whether you’re building inspection systems, real-time analytics platforms, or smart cameras, our end-to-end CV services ensure robust, scalable solutions.

Vision Consulting & Strategy

Our team helps identify high-value visual use cases, assess feasibility, and design prototypes - so you avoid costly missteps and focus on the problems that matter.

Custom CV Model Training

We build and fine-tune detection, classification, segmentation, and OCR models tailored to your domain, delivering accuracy and speed optimized for production use cases.

Real-Time Video & Image Analytics

Stream visual data pipelines for live object tracking, event detection, anomaly alerts, and automated workflows using edge or cloud architectures.

Quality Inspection Automation

Replace manual inspection with no-touch systems for manufacturing, logistics, and retail, reducing errors and boosting throughput.

Facial & Person Recognition

Secure environments, personalized experiences, or check-in systems - we deploy compliant and reliable recognition pipelines suited to your use case.

Document & Label OCR

Automate data extraction from forms, invoices, labels, and ID cards using high-accuracy OCR and NLP post-processing.

AutoInspect

Industry: Manufacturing

We built a real-time defect detection system for AutoInspect that analyzes high-speed assembly line images using segmentation and anomaly models. This helped reduce defects by 45% and increased throughput by 30% without slowing production.


Why Choose Kodevent for Computer Vision?

  • We combine deep learning with industrial-grade architecture - delivering vision systems that are accurate, robust, and production-ready.
  • We structure our workflow around your data and goals, embedding model validation, bias detection, and real-time monitoring from day one.
  • As product-obsessed engineers, we ensure your solution delivers real business value - from reducing errors to improving safety and customer experience.
  • Our cross‑industry expertise - from logistics and healthcare to manufacturing - ensures mature solutions that scale with your operations.
How it works

Our Computer Vision Development Process

We apply a proven, iterative process tailored for visual AI - ensuring early validation, high accuracy, and seamless deployment.

We collaborate with stakeholders to identify vision automation opportunities and define success metrics.

We gather and label high-quality image or video data needed for training, using best practices and scalable workflows.

We develop, fine-tune, and benchmark models using accuracy, latency, and fairness metrics specific to your context.

Our team builds inference pipelines for cloud or edge deployment, integrating into your apps, cameras, or robotics.

We monitor model health, detect drift, and retrain as needed to maintain performance over time.
Contact

Ready to Vision-Enable Your Product?

Tell us what you're building - we'll get back to you within one business day. Confidentiality matters? We sign an NDA upfront.

Mikhail Aksionchyk
Mikhail Aksionchyk Head of Executive Operations LinkedIn

What happens next?

  1. Describe your visual AI challenge, and we'll assess feasibility and impact within 24 hours.
  2. We'll propose a tailored computer vision solution highlighting scope, timeline, and ROI.
  3. Let's schedule a technical walkthrough and finalize project details.
  4. Your custom vision system is deployable within weeks of kickoff.

Share your image or video use case - our CV team is ready to help.

Please tell us a bit about your project.
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Vision Projects in Action

Case in point

MedScan AI

For a healthcare diagnostics firm, we built an AI-powered imaging tool that analyzes X-rays and MRI scans to detect anomalies. The system improved early detection accuracy by 28% and reduced manual review time by 50%.

  • IndustryHealthcare
  • MarketNorth America
  • Team size5 engineers
  • Cooperation2023 – present
  • Technologies and toolsPython, PyTorch, OpenCV, Kubernetes, AWS
MedScan AI
Case in point

ShelfSense

We implemented an in-store shelf monitoring system for a retail chain. Real-time image recognition identifies stock levels, misplaced products, and promotional compliance - increasing stock accuracy by 35% and reducing out-of-stock events by 20%.

  • IndustryRetail & eCommerce
  • MarketGlobal
  • Team size2022 – present
  • Technologies and toolsPython, TensorFlow, OpenCV, EdgeTPU, Google Cloud
ShelfSense

Vision & AI Tech Stack

  • Python
  • PyTorch
  • TensorFlow
  • OpenCV
  • Detectron2
  • YOLO
  • AWS
  • GCP
  • Kubernetes
  • Docker

  • Use Case Discovery & ROI

    We help map your visual automation needs and expected business outcomes before you build.

  • Custom Model Training

    Tailored models trained on your data for high accuracy in real-world environments.

  • Edge & Cloud Deployment

    Deploy models on devices or in the cloud with optimized pipelines.

  • Continuous Vision Ops

    Maintain performance through monitoring, retraining, and version control.

See How Vision Can Transform Your Business

Ready to explore what computer vision can do? Contact our experts for a free discovery call.