+91 88578 53138 info@codexxa.in Pune Β· Bengaluru Β· Mumbai
Computer Vision

See What Matters: Vision AI That Works

From defect detection to facial recognition β€” Codexxa builds computer vision systems that bring human-level visual understanding to your business processes.

99.8%
Detection Accuracy
50ms
Avg Processing Time
24/7
Operation Ready
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Human eyes can see 200 yards.
Our Vision AI can see 10 million data points in a millisecond.

Computer vision brings consistency, speed, and scale to any visual inspection or recognition task.

Capabilities

Vision AI Capabilities

From basic image classification to complex real-time video analysis.

01

Object Detection

Identify and locate multiple objects in images and video streams with bounding boxes and confidence scores.

02

Image Classification

Categorize images into predefined classes for automated quality control and content moderation.

03

Semantic Segmentation

Pixel-level understanding that assigns meaning to every part of an image for precise analysis.

04

Defect Detection

Identify product defects at scale with accuracy that surpasses manual inspection in manufacturing.

05

Face Recognition

Identity verification and attendance tracking with liveness detection to prevent spoofing.

06

OCR & Document Vision

Extract text and data from documents, receipts, IDs, and forms with high accuracy.

Industries

Computer Vision by Industry

Manufacturing & Quality Control

Automated visual inspection systems that detect defects, measure tolerances, and ensure quality standards across production lines β€” operating at 10x the speed of manual inspection.

Defect Detection Assembly Verification Surface Inspection
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Retail & eCommerce

Visual search, shelf monitoring, checkout-free shopping, and inventory management through smart camera systems that understand the retail environment.

Visual Search Shelf Monitoring cashier-less Checkout
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Healthcare & Medical Imaging

AI-assisted analysis of X-rays, MRIs, and CT scans that helps radiologists detect anomalies faster and with greater accuracy for early diagnosis.

X-Ray Analysis Tumor Detection Retinal Scanning
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Process

How We Build Vision AI

1
Data Collection

Curate and label visual datasets

2
Model Design

Select CNN architecture

3
Training

Train with GPU infrastructure

4
Validation

Test accuracy on holdout data

5
Deploy

Edge or cloud deployment

Use Cases

Computer Vision in Action

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Manufacturing

Automated Quality Inspection

Real-time defect detection on production lines with 99.9% accuracy. Inspects 1000+ items per minute.

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Security

License Plate Recognition

ANPR for parking, toll, and access control systems.

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Document

OCR Document Scanning

Extract data from receipts, invoices, and IDs automatically.

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Analytics

People Counting & Heatmaps

Retail foot traffic analysis and crowd management.

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Interaction

Gesture Recognition

Touchless interfaces for kiosks and digital signage.

Technology

Tech Stack

TensorFlow
PyTorch
OpenCV
YOLO
Detectron2
NVIDIA TensorRT
ONNX
AWS Rekognition
Google Vision AI
Azure Computer Vision
Questions

Frequently Asked Questions

How much data do we need for computer vision? +

It depends on the task complexity. Simple classification may need 500-1000 labeled images per class. Complex detection tasks typically need 2,000-5,000+ images. We can also use transfer learning from pre-trained models to reduce data requirements significantly.

Can computer vision work in real-time on video streams? +

Yes. We optimize models for real-time inference using techniques like model quantization, GPU acceleration, and edge deployment. Our systems can process 30+ frames per second for most video analysis tasks.

Can you deploy CV models on edge devices? +

Absolutely. We deploy computer vision on NVIDIA Jetson, Raspberry Pi, mobile devices, and custom edge hardware. This enables low-latency inference without cloud dependency for latency-critical applications.

How accurate are your CV models compared to humans? +

Our best models achieve 99%+ accuracy on well-defined tasks like defect detection and OCR. For complex, ambiguous tasks, we design human-in-the-loop workflows where AI handles routine cases and escalates edge cases.

Can you integrate CV with our existing systems? +

Yes. We integrate computer vision with MES systems, ERP platforms, quality management software, and custom applications via REST APIs. We also support integration with industrial cameras and IoT devices.

What's the typical timeline for a CV project? +

PoC takes 4-6 weeks for initial validation. MVP with production-ready model takes 8-12 weeks. Complex multi-camera systems with real-time processing can take 4-6 months. We provide detailed timelines after understanding your specific requirements.

Bring Vision AI to Your Business

Let's build computer vision that sees what humans can't β€” at the speed and scale your business needs.

Codexxa Support

We typically reply within minutes

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