Custom-Built Computer Vision Software

We help you add value to your business with machine learning algorithms for robust computer vision solutions

Computer vision software built with your unique requirements in mind

The InData Labs’ team specializes in computer vision algorithm development to fuel breakthrough innovation. We have world-class machine learning engineers and infrastructure architects in our midst.

As a computer vision company, we aspire to build intelligent computer vision solutions that can bring real changes to business operations and help business strategies yield better results. We help our clients improve the efficiency of their business processes by extracting the data from images and video frames.

We tailor our computer vision services and solutions to your specific needs. Be it the automation of visual tasks, computer vision consulting, or building new products from scratch – we do it all.

Automate manual and repetitive tasks with OCR & data capturing

Businesses daily deal with big data, and the volumes are growing exponentially. Such services as data capture, retrieval, and extraction have become integral parts of organizations’ workflows.

We provide high-end services for you to find, capture, and extract data automatically from unstructured documents and cut down on manual operations.

Harness big data with object segmentation in 3D point clouds

Point clouds are used in 3D modeling to generate accurate models of real-world items or scenes. The technology is in high demand for computer graphics, virtual reality, and communication.

Our big data experts can help you generate immersive 3D models of the physical world with great ease and speed.

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Multi-object detection models for automatic image tagging

We use convolutional neural networks to teach machines what different objects look like and train algorithms to automatically identify people and objects on an image.

Multi-object detection can be a great asset for e-commerce organizations and social media platforms for product and photo tagging. The technology can be used to enhance the customer experience in retail, logistics, and supply chain.

Need a custom image recognition model for your business?

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Extract more insights from visual data with image segmentation models

Image segmentation splits an image into meaningful parts to make it easier for machines to understand, process, and analyze.

The technology of image segmentation can be widely applied for medical image processing, face recognition, pedestrian detection, and more.

Looking for help with your image analysis project?

Use product matching and make recommendations with image similarity search

Image similarity search allows customers to find similar products based on visual attributes, such as color, shape, or texture across the web. This technology is becoming increasingly important in the era of big data that businesses exploit for growth.

We are here to assist you in implementing the technology to tackle massive amounts of unstructured data more efficiently, increase ROI, and add to your business value.

Need a custom visual search engine?

Improve customer service with our face recognition solution

We deliver deep learning algorithms that automate the process of gathering, storing data on an individual’s facial features, and shaping data-based faceprints.

Live captured or scanned images can then be compared to stored faceprints to verify the identity, improve the security level, and facilitate access control. Also, you can efficiently use data to detect your VIP customers and boost the quality of customer service.

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Boost brand visibility with logo detection & brand monitoring software

An object detection algorithm facilitates specifying object location on an image, based on the set of categories used to train a custom algorithm.

We assist organizations and individuals by creating and delivering machine learning-based logo detection systems. Our solutions help automate real-time detection and recognition of brand logos on an image or in broadcast video streams and provide brand visibility analytics.

Need a custom logo detection and brand monitoring software?

Benefits

Implementation of computer vision software allows you to derive many practical benefits with minimal efforts

Simpler and Faster Processes
Automate a number of working processes and check your products faster.
Reduction of Costs
Reduce expenses and increase the profitability of your products and services.
Higher Accuracy
Increase the accuracy of data-based operations and reduce errors.
High-Quality Results
Optimize working process and increase the quality of customer service.

Why work with us

We make it easy to build excellent image analysis software

State-of-the-Art Models
We use convolutional neural networks to train efficient algorithms inspired by biological neural activities.
Customizable Solutions
We don’t settle for average. Our solutions are tailored to fit in with customers’ specific needs and the nature of their data.
Cloud Infrastructure
Our deep learning engineers and infrastructure architects work together to achieve the best performance for our customers.
Highly Experienced Team
We pursue greatness in everything we do for our clients to provide best-in-class solutions in computer vision application development.

Image Capturing Solution to Predict Horses’ Performance During Races

The Client challenged InData Labs with the development of Windows 10-based desktop application for tablets to capture images of available horses by using internal and external cameras. The extracted data was needed to predict the performance of a horse during race events.

InData Labs’ computer vision developers managed to create and deliver a high-quality application to meet the Client’s needs and exceed expectations. Computer vision tasks included object segmentation, image stabilization, and advanced frame averaging techniques for measurements.

Building an Object Capturing Model to Improve Cargo Security

The client hired the InData Labs’ team to conduct research and develop a solution based on a deep learning approach to solve the following challenges:

Enable capturing objects
Ensure more secure cargo transportation with object tracking
Calibrate 3D cameras and create a dense point cloud to detect different objects and movements
Solve semantic segmentation problem

As a result, the Client got the object segmentation model for capturing objects and more effective processing of point clouds data.

Creating a Deep Learning-based Face ID Solution to Improve the Security Level

The Client cooperated with InData Labs with the view to developing a highly secure face recognition (Face ID) system.

The challenge was to build this system with the use of deep learning algorithms capable of identifying an individual by matching a photo with a real-time captured image or video streams of different length.

Computer Vision Development Tools

The InData Labs’ team uses the latest tools and technologies for computer vision development

Deep Learning

Computer Vision

Software Development

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Start Your Computer Vision Project with InData Labs