Transforming Visual Data into Smart Insight
Let's Talk Vision
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.
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.
Our Computer Vision Development Process
Ready to Vision-Enable Your Product?
Share your image or video use case — our CV team is ready to help.
What're the next steps?
- Describe your visual AI challenge, and we'll assess feasibility and impact within 24 hours.
- We'll propose a tailored computer vision solution highlighting scope, timeline, and ROI.
- Let's schedule a technical walkthrough and finalize project details.
- Your custom vision system is deployable within weeks of kickoff.
Vision Projects in Action

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%.
Industry: Healthcare
Market: North America
Team size: 5 engineers
Cooperation: 2023 – present
Technologies and tools: Python, PyTorch, OpenCV, Kubernetes, AWS
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%.
Industry: Retail & eCommerce
Market: Global
Team size: 2022 – present
Technologies and tools: Python, TensorFlow, OpenCV, EdgeTPU, Google Cloud

Vision & AI Tech Stack
- Python
- PyTorch
- TensorFlow
- OpenCV
- Detectron2
- YOLO
- AWS
- GCP
- Kubernetes
- Docker
- Python
- PyTorch
- TensorFlow
- OpenCV
- Detectron2
- YOLO
- AWS
- GCP
- Kubernetes
- Docker
Custom Model Training
Edge & Cloud Deployment
Continuous Vision Ops
See How Vision Can Transform Your Business
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