Empower your business with AI/ML capabilities

Image Recognition Software
Development

Image recognition technology is gaining momentum and bringing significant digital transformation to a number of business industries, including automotive, healthcare, manufacturing, eCommerce, and others. With our image recognition software development, you’re not just seeing the big picture, you’re zooming in on details others miss.

Image recognition software we build

Used for automated detection of damage and assessment of its severity, used by insurance or rental companies.

Medical Imaging Recognition

Lowering the probability of human error in medical records and used for scanning, comparing, and analysing the medical images of patients.

Optical Character Recognition

Scans and detects text from various types of documents, images, and videos.

Object Recognition

Defines the separate objects on images or videos using machine learning algorithms.

Facial Recognition

It is used to verify users or employees in real-time via face images or videos with the database of faces.

Defect Recognition

Scans the product in real-time to reveal defects, ensuring high product quality before client delivery.

Building Image Recognition solution from scratch

  • Determining the project requirements

    We define the project specifications to estimate time and the required budget.

  • Proof of concept

    We conduct this process to endorse the idea of the future application with stakeholders and collect project technical documentation.

  • Prototype and solution development

    Our team builds the future image recognition software prototype to test different scenarios of its usage and consider these results in further solution development.

  • Production and deployment

    This development stage includes the final testing of the complete solution and its integration within your business processes.

  • Software maintenance

    Constant support of the solution by our development team.

Upgrading the existing Image Recognition software system

  • Definition of the project requirements

    This stage is a must, no matter whether we build the image recognition solution from scratch or integrate the existing business application.

  • Audit of the existing software system

    The purpose is to ensure the smooth integration of image recognition technology.

  • Development

    We create flawless image recognition features and seamlessly integrate them into your inner software ecosystem.

  • Testing

    Our team conducts various tests to ensure the newly implemented features work correctly within the entire software system.

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Receive a personalised project estimate and take the first step towards bringing your idea to life.

Discover success stories

Explore our case studies and find out how we have helped some of our clients from around the world.

Why choose altamira as your image recognition development partner?

As a longstanding and trusted software development partner, we contribute our broad expertise and knowledge to deliver high-quality software that will serve your business for year

01 What do image recognition software development services include?

02 Why does your business need image recognition technology?

03 What is image recognition technology used for?

We provide full-cycle software development for our clients, depending on their ongoing business goals. Whether they need to build the image recognition solution from scratch or integrate image recognition technology within their existing software system.

We usually start by determining the project's technical requirements in order to build the action plan and outline the required technologies and engineers to deliver the solution.

Enabled by deep learning, image recognition empowers your business processes with advanced digital features like personalised search, virtual assistance, collecting insightful data for sales and marketing processes, etc.

Image recognition technology is accountable for detecting and classifying the objects, patterns, and textures from images and videos in order to structure them into various categories and use them within different company departments and workflows.

Case studies

Custom Mobile App for Dog Owners

Mobile App

Modern technology can help owners care for their dogs and keep them safe. GPS tracks and saves dogs’ history for their whole life, easily transfers it to new owners and ensures the security and detectability of the animal.

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Patient Care App

Healthcare Mobile App

The mobile app aims to present ways to help patients with chronic diseases and, at the same time, monetize the app by selling data collected directly from patients, which is of significant value to pharmaceutical companies.

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Point of Sales Saas Solution

Retail POS

Zemp is a multifunctional Point of Sales mobile app that helps retail companies to manage orders, check inventory and stock count, generate employee reports, perform convenient transactions, and see sales reports.

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All-in-one Solution App for Local Businesses

Social Network Mobile App

A native iOS and Android app that connects neighbors and helps local businesses to grow within local communities. Bestyn includes posts sharing, private chats, stories and built-in editor for their creation, and tools for promoting local businesses.

Read case

People also asked

Which AI can recognize images?

AI image recognition software can identify and interpret visual data. These systems are engineered with advanced algorithms, enabling them to process and understand images like the human eye. They are widely used in various sectors, including security, healthcare, and automation. For more information, contact us.

Can AI identify objects in images?

Yes, AI can proficiently identify objects within images. Through object detection, AI analyses visual inputs and recognizes various elements, distinguishing between diverse objects, their positions, and sometimes even their actions in the image.

What is the best image recognition software?

Identifying the “best” AI image recognition software hinges on specific requirements and use cases, with choices usually based on accuracy, speed, ease of integration, and cost. Recent strides in image recognition software development have significantly streamlined the precision and speed of these systems, making them more adaptable to a variety of complex visual analysis tasks. Get in touch to learn how we can help your company.

What software is used to detect AI-generated images?

Software that detects AI-generated images often relies on deep learning techniques to differentiate between AI-created and naturally captured images. These tools are designed to identify the subtle patterns and unique digital footprints that differentiate AI-generated images from those captured by cameras or created by humans. They work by examining various aspects of an image, such as texture, consistency, and other specific characteristics that are often telltale signs of AI involvement. Contact us to learn how AI image recognition solution can benefit your business.

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