Respected Client that Trust Our Machine Learning Solutions

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Key Concepts and Techniques in Image Recognition

Every technique and concept serves a different yet core purpose in refining and enhancing the image recognition process. They further enrich our applications visual understanding in identification. It will revolutionize your business by automating tasks that require human vision and cognitive learning.

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object detection

Object Detection

We train our apps to detect objects through bounding boxes and labeling them with data. The feature is used to recognize objects in image, videos, or live video streams.

  • Region Based Convolutional Network (R-CNN)
  • You Only Look Once (YOLO)
  • Single Shot Multibox Detector (SSD)
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Classification helps in recognizing and extracting information available within the image. Its done by data labels that are assigned either to entire image or to single region of the image.

  • Convolution Neural Network (CNNs)
  • Support Vector Machines (SVMs)
  • Decision Tree
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semantic segmentation

Semantic Segmentation

If you are looking detailed understanding and studying the pixel of images than segmentation provides ample of approaches. Our apps does segmentation through data labeling each pixel and classifying them for you.

  • U-Net
  • Convulational Neural Networks (CNNs)
  • DeepLab
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anomaly detection

Anomaly Detection

Used for quality control outlier detection is immensely useful when it comes to discover deviation in patterns. Anomaly detection is widely used for quality control in various industry niches.

  • Bayesian Networks
  • K-nearest neighbors
  • Supervised Neural Networks (SVMs)
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intelligent character recognition

Intelligent Character Recognition

Our AI apps can source out text from the images using AI-based optical character recognition (OCR) technique. The technique is widely used for document scanning, digitization, and other data related operations.

  • CRNN + CTC
  • DeepText
  • LSTM, CTPN, and Mask R-CNN
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Features of Our Image
Recognition Application

Every image consists of data and our apps can recognize it, process, analyze, and interpret for a machine to make predictions or decisions for your benefit.

detection Detection, Classification, Recognition
real time Real-Time Visual Data Processing
robustness Robustness and Generalization
scene understanding Scene Understanding
interpretability Interpretability
scalability Scalability
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Industries we’ve excelled in

  • Security
  • Retail
  • Manufacturing
  • Healthcare


From enhanced security measures, real-time feedback on automated surveillance to dynamic monitoring capabilities our AI images detection apps are smartly equipped with proactive threat detection and pans out situational awareness in no time.

  • Bayesian Network Security
  • Smart Surveillance
  • Crowd Monitoring
  • Next-Gen Detection Capabilities


Right from operational efficiency, planogram compliance, real-time video feeds our AI image detection apps for Retail are a digital smart-save for modern day data driven industry.

  • Customer Traffic Pattern Analysis
  • Real-time Video Feeds
  • Smart Shopping Environment
  • Inventory Automation


Stellar supply chain visibility, panoramic safety monitoring to dynamic process optimization. Our AI enabled image recognition app facilitates maintenance prediction and defect analysis ensuring product supremacy and workplace safety.

  • Real-time visual data processing
  • Optical Character Recognition
  • Defect Analysis
  • Optimised Asset Performance


AI image recognition apps for healthcare by Yudiz empowers high performance healthcare. Pioneer on surgical, diagnostic and remote consultations via our resource efficient and time savvy image recognition apps.

  • Accurate MRI/CT Scans
  • Proactive Smart Follow-ups
  • Futuristic Clinical Practices
  • Collaborative Medical Image Analysis
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Empower your Business Using Our Image Recognition App

Transform Images into Data

Join the Future!
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What our clients say !

In such an advanced and modern market we were too looking for harnessing the power of AI for image recognition, this is where Yudiz came into play and became our tech partner.

Abigail Silva Brazil

During the research and data preparation phase their team worked tirelessly to fabricate this solution, a robust one I must say to give us a cutting edge over our competitors. Looking to work with them again soon.

Kuro Salah Farhat Abu Dhabi

The solution that Yudiz delivered us was a game-changer. It helped us to classify objects and maintain our media assets and records seamlessly. It surely improved the visualization of our data assets.

Pete Wallace USA

What truly sets Yudiz apart is their ability to deploy the solution without causing any friction to our operations. It helped us to gain advantages in terms of quality assurance and streamlining the supply chain.

Shin Taro Sakamoto Poland
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Success Snapshot

With world-class design for a fraction of the cost of hiring a team,it's a no-brainer, right?

freshsight ai

FreshSight AI

FreshSight AI leverages advanced image recognition technology to monitor and analyze the quality of food products in real-time, ensuring compliance with industry standards.

  • Automated Quality Checks
  • Real-Time Reporting
  • Batch Tracking
  • Statistical Analysis Dashboard
  • Compliance Monitoring
freshsight AI
librasort ai

LibraSort AI

LibraSort AI simplifies the management of library inventories using image recognition to categorize and sort books, making the process faster and more accurate.

  • Automated Sorting System
  • Damage Detection
  • Inventory Updates
  • Historical Data Analysis
  • User Interaction Enhancement
librasort ai
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    Frequently asked questions

    1. What can an image detection solution do?

    An image detection solution can analyze and interpret images to identify objects, classify content, and detect patterns, making it useful for tasks like quality control, security monitoring, and data gathering.

    2. How accurate are image detection solutions?

    Image detection solutions are highly accurate, often achieving precision rates over 90%, depending on the quality of the algorithms and data used for training the systems.

    3. What are some common applications of image detection?

    Common applications of image detection include facial recognition, automated vehicle systems, medical imaging diagnostics, surveillance, and quality control in manufacturing.

    4. How much does an image detection solution cost?

    The cost of an image detection solution varies widely based on factors such as complexity, customization, and scale, ranging from a few thousand to several hundred thousand dollars.

    5. Is it difficult to set up an image detection solution?

    Setting up an image detection solution can range from straightforward to complex, depending on the solution’s sophistication and the specific application requirements.