Crazy Unicorns

Computer Vision & Image Recognition

We build computer vision systems for real business use — object detection, classification, OCR, and visual inspection with production reliability.

Object detectionClassificationOCRVisual inspectionEdge deployment
Overview

What we build

We engineer production-grade computer vision systems that solve real-world business problems. Our focus is on delivering reliable, scalable, and maintainable solutions that integrate seamlessly into your existing operations.

From manufacturing and logistics to retail and healthcare, we design and deploy custom algorithms for object detection, image classification, optical character recognition (OCR), and automated visual inspection.

computer visionimage recognitionobject detectionocrvisual inspection
Use Cases

Common use cases

Automated Quality Control

Detect manufacturing defects, assembly errors, and surface imperfections in real-time on the production line.

Retail Analytics

Analyze in-store video feeds to understand customer behavior, track shelf inventory, and optimize store layouts.

Document Digitization & OCR

Extract and structure data from invoices, receipts, forms, and other documents to automate data entry and processing.

Medical Image Analysis

Assist radiologists and clinicians by identifying anomalies and patterns in X-rays, MRIs, and other medical scans.

Security & Surveillance

Monitor video streams for object tracking, intrusion detection, and facial recognition in secure environments.

Process

Our process

1

Data Collection & Feasibility

Define the problem, assess data availability, and conduct a feasibility study to validate the use case.

2

Model Development & Training

Select the right architecture, prepare and annotate data, and train custom models for your specific task.

3

System Integration & Engineering

Develop the surrounding application, APIs, and data pipelines for a complete, deployable system.

4

Deployment & Edge Optimization

Deploy models to the cloud or edge devices, optimizing for latency, cost, and power consumption.

5

Monitoring & Retraining

Implement monitoring to track model performance and establish a process for continuous retraining and improvement.

Architecture

Technology & Architecture

Our computer vision systems are built on a foundation of solid engineering principles. We prioritize modular, scalable architectures that allow for easy maintenance and future upgrades.

We leverage a combination of open-source libraries like OpenCV and PyTorch, cloud services, and custom-built components to create robust and efficient solutions.

computer vision architectureopencvpytorchedge aimlops
Why Us

Why Crazy Unicorns?

Focus on production-ready systems
Deep expertise in algorithm optimization
Experience with both cloud and edge deployments
Pragmatic, business-oriented approach
Transparent communication and collaboration

We build computer vision systems that work in the real world.

Start your computer vision project

Ready to automate visual tasks and unlock new efficiencies? Let's talk about how computer vision can transform your business.

FAQ

Frequently Asked Questions

What kind of data do I need?
The more high-quality, labeled data, the better. We can help you with data acquisition and annotation strategies if needed.
How do you ensure model accuracy?
Through rigorous testing, validation against unseen data, and continuous monitoring of performance in production.
Can the models run on our own hardware?
Yes, we specialize in optimizing and deploying models for edge devices with specific hardware constraints.
What is the typical ROI for a computer vision project?
ROI varies but often comes from increased efficiency, reduced errors, and new capabilities that were previously impossible.
Do you provide ongoing support and maintenance?
Yes, we offer support packages to ensure your system continues to operate reliably and accurately over time.

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