Empower your business with AI/ML capabilities
Image Recognition Software
Development
Image recognition algorithms are 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.
15+
Years expertise
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120+
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Building image recognition solution from scratch
Upgrading the existing image recognition software system
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Let’s treat the core problems, not symptoms.
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Explore our case studies and find out how we have helped some of our clients from around the world.
Strive for excellence with Altamira
Altamira has been awarded numerous times for its performance and achievements. Join our community of successful customers, whom we helped to build and grow their businesses through image recognition software development.
Why choose Altamira as your image recognition development partner?
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.
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 algorithms empower 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 identifying multiple objects, patterns, and textures from digital images and videos in order to structure them into various categories and use them within different company departments and workflows.
Our tech stack
With our advanced AI tech stack, which consists of a huge set of tools and frameworks, our team builds accurate and efficient models for a wide range of image recognition tasks.
Explore our full range of services
Identify and assess vehicle damage and activate insurance policies on the spot without any need for expert assessment.
Streamline store operation, improve inventory, and level up customer experience with accurate item identification.
Eliminate manual data entry, categorise documents, process images, or transcribe videos, converting text into digital format.
Automate processes, gain insights into customer behaviour, and product performance with real-time object detection and classification.
Ensure top-notch quality control, automatically detecting and classifying product defects to maintain high standards.
Case studies
People also asked
Multiple AI image recognition identifies and interprets 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.
Yes, artificial intelligence is proficient at object detection, image search and optical character re. Through computer vision, AI analyses visual inputs and can recognize patterns and distinguish between multiple objects, their positions, and sometimes even their actions in the image.
Identifying the “best” computer vision applications hinges on specific requirements and use cases, with choices usually based on accuracy, speed, ease of integration, and cost. Recent strides in image recognition systems have significantly streamlined the precision and speed, making them more adaptable to a variety of complex visual analysis tasks.
Get in touch to learn how we can help your company achieve image recognition.
Software that detects AI-generated digital 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 systems can benefit your business.
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