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
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.
Altamira is trusted by
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.
Challenges we solve
Security issues addressed through facial recognition, anomaly detection, and real-time surveillance, alerting unusual activities without human intervention
Poor quality control processes improved by identifying defects without the need for manual inspection, thus reducing costs and improving efficiency
Inventory tracking, warehouse management, and logistics streamlined by automating the process of identifying, counting, and managing stock levels and tracking assets across different locations
Time-consuming monitoring of crop health, pest detection, and yield prediction optimized through real-time monitoring and analysis
Traffic and urban planning enhanced by analysing traffic flow in real-time from camera feeds, identifying congestion, accidents, and other anomalies
Take the next step
Let’s treat the core problems, not symptoms.
Estimate my project
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.
What benefits you can get
For startups
Use image recognition to craft products that blend the physical and digital worlds, offering customers novel and engaging experiences that set them apart.
For small and medium-sized businesses
Automate the tedious process of inventory tracking with image recognition, reducing manual errors and freeing up time for more strategic tasks.
For enterprises
Refine your operations on a global scale, secure the systems against modern threats, and personalize customer experiences, all while drawing on your extensive resources and market reach.
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
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.
Golf Training App Powered by IoT
A golf training app that helps players improve their unique golf style. An opportunity for a deep configuration of the swing goal, great visual support, advanced algorithms, and effective feedback makes this project a revolution for golf!
Point of Sales SaaS Solution
ZempCenter 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.
All-in-one Solution App for Local Businesses
A native iOS and Android app that connects neighbours 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.
Mobile Payment and Virtual Terminal App
The SkipCash mobile payment app is operated in Qatar, where common PoS terminals are not widespread. SkipCash tries to solve this problem with a mobile payment app that replaces the payment terminal on the seller's side and replaces the payment card on the client's side.
Slovak National Theater Web Development
We took over the maintenance, continuous improvement, and further development of the website for the most famous and largest Slovak cultural institution – Slovak National Theater.
People also asked
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.
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.
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.
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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