Computer Vision & Image Recognition

Discover How We Revolutionized SaaS Scalability—Unleashing Seamless Growth.

services artificial intelligence recognization of images and computer vision

From Object Detection to Facial Recognition, Integrate Advanced Computer Vision for Smarter Operations.

Process Automation

What is Computer Vision and Why It Matters ?

Computer Vision is a branch of AI that allows machines to interpret and make decisions based on visual inputs — for example, images or videos. The use of deep learning and neural networks means systems are now able to recognize patterns, classify objects, read text documents, analyze motion, and mark outliers with high accuracy.
At Ellocent, we make the power of visual information come alive by creating tailored AI models that know your industry's requirements enabling you to automate inspections, improve security, and attain real-time visibility across environments.

What We Offer in Image & Vision AI

Background

Benefits of Computer Vision Solutions

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24/7 Real-Time Monitoring

Streamline visual inspection and monitoring without human effort or fatigue.

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Enhanced Security & Identification

Employ biometric face or object recognition for secure, efficient, and hands-free access control.

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Speed Up Manual Workflows

Minimize human workload by digitizing documents, scanning IDs, or classifying products.

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Reduce Operational Errors

Improve accuracy and consistency across visual inspections and processes.

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Cut Costs & Waste

Identify defects, packaging errors, or quality issues before they cause loss.

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Enable Smart Environments

Bring intelligence to cameras, devices, and spaces with real-time decision-making.

Real-World Computer Vision Use Cases

Ellomed – AI in Medical Image Processing

Ellomed – AI in Medical Image Processing

Utilized custom-trained models to analyze X-rays for potential abnormalities and applied segmentation techniques to isolate infected areas in radiology scans. Outcome: Enabled faster diagnosis and assisted doctors with visual overlays for better decision-making.

Manufacturing – Real-Time Defect Detection System

Manufacturing – Real-Time Defect Detection System

Deployed YOLOv8 models on camera feeds to identify product defects on the assembly line and triggered alerts when defective units passed certain thresholds. Outcome: Reduced product defect rate by 42% and improved inspection speed by 5x.

Real Estate – Property Image Tagging for Tolobi

Real Estate – Property Image Tagging for Tolobi

Streamlined property listing creation by building an AI pipeline that not only classifies property images but also leverages OCR to automatically extract critical data from scanned documents. Outcome: Cut property onboarding time by 60% and improved listing accuracy.

Hire Us

Choosing the right team can make all the difference. We pride ourselves on delivering high-quality work, clear communication, and results you can rely on. No matter the challenge, we’re here to bring your ideas to life with precision and passion

Tools & Tech Stack We Use

Frameworks & Libraries

OpenCV

OpenCV

TensorFlow

TensorFlow

PyTorch

PyTorch

Keras

Keras

MMDetection

MMDetection

Detectron2

Detectron2

YOLOv5 / YOLOv8

YOLOv5 / YOLOv8

FastAI

FastAI

Scikit-image

Scikit-image

OCR & Document Analysis

Tesseract OCR

Tesseract OCR

Google Vision API

Google Vision API

Azure Computer Vision

Azure Computer Vision

AWS Textract

AWS Textract

Paddle OCR

Paddle OCR

Pre-trained Models & Datasets

COCO

COCO

Pascal VOC

Pascal VOC

ImageNet

ImageNet

FaceNet

FaceNet

DeepFace

DeepFace

Dlib

Dlib

Segment Anything (SAM)

Segment Anything (SAM)

MediaPipe

MediaPipe

Deployment & Integration

Python

Python

FastAPI

FastAPI

Docker

Docker

Flask

Flask

Django

Django

ONNX

ONNX

NVIDIA TensorRT

NVIDIA TensorRT

Raspberry Pi

Raspberry Pi

Frequently Asked Questions

We’ve deployed computer vision in:
  • Ellomed: Prescription image reading & medication recognition
  • Manufacturing: Automated defect detection in production lines
  • Retail: Inventory tracking through visual inspection
  • Healthcare: X-ray/MRI analysis and image-based diagnostics
  • Security: Facial recognition and surveillance analytics
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    What Happens Next?

    1

    We review your request, contact you, and sign an NDA for confidentiality.

    2

    We analyze your needs and create a project proposal with scope, team, time, and cost details. 

    3

    We schedule a meeting to discuss the offer and finalize the details.

    4

    The contract is signed, and we start working on your project immediately.

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