We are ready to help you add value to your business with ML algorithms for robust computer vision solutions
Here, at InData Labs, we specialize in computer vision algorithm development to fuel breakthrough innovation. We have world-class ML engineers and infrastructure architects in our midst.
As a computer vision company, we aspire to build intelligent computer vision systems and deliver high-end CV solutions that will bring real changes to business operations and help business strategies yield better results. We help our clients improve the workflow of their business processes by extracting the data from images, live video streams, and video frames.
We tailor computer vision services directly to your specific needs. Whether it’s just automation of visual tasks, computer vision consulting, or building new products from scratch – we do it all.
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 deliver high-end solutions to find, capture, and extract data automatically from unstructured documents and cut down on manual operations.
Contact us to discuss your would-be solution!
Point clouds are used in 3D modeling to generate accurate models of real-world items or scenes. This technology is in high demand for computer graphics, VR, and communication.
Our CV developers and infrastructure architects will help you generate immersive 3D models of the physical world easily and with great speed.
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We use convolutional neural networks to teach machines what different objects look like and train algorithms to automatically identify people and objects on the picture.
Multi-object detection can be a great asset for e-commerce organizations and social media platforms. It can be used to enhance the customer experience in retail, logistics, and supply chain.
Need a custom image recognition model?
Image segmentation splits an image into meaningful parts to make it easier for machines to understand, process, and analyze.
Image segmentation can be widely applied for object tracking, medical image processing, face recognition, and more.
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Image similarity search allows customers to quickly find similar products based on visual attributes, such as color, shape, texture, etc, across the web. This technology is becoming increasingly important in the era of big data that businesses exploit for growth.
We will help you to implement the product matching and recommendation technology to tackle massive amounts of unstructured data more efficiently, increase ROI, prevent cost overruns, and add value to your work.
Need a custom visual search engine?
We deliver deep learning algorithms that automate the process of gathering, storing data on an individual’s facial characteristics, and shaping data-based faceprints.
Live captured or scanned images can then be compared to stored faceprints to verify the identity, increase the security level, and facilitate access control. Also, you can efficiently use a face recognition app to detect your VIP customers and boost the quality of customer service.
Need a custom face recognition technology?
Object detection algorithms facilitate specifying object presence and location on an image, based on the set of categories used to train a custom algorithm.
We assist organizations and individuals by delivering machine learning-based logo detection systems. Our solutions help automate real-time recognition of brand logos on an image or in broadcast video streams and shows accurate brand visibility analytics.
Need a custom logo detection and brand monitoring software?
Human pose estimation is one of the most burning issues in today’s CV community.
We are ready to aid you with a pose estimation solution that can be easily applied to your app or any other 3rd party tool. It’s aimed to predict, identify, and track the presence and location of a person and their movement helping you to provide better services.
This solution will become your valuable asset for:
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Automate a number of working processes and check your products faster.
Reduce expenses and increase the profitability of your services and products.
Increase the accuracy of data-based operations and reduce errors.
Optimize the working process and increase the quality of customer service.
We make it easy to build excellent machine vision software.
Discover the reasons why choose us as your CV technology partner.
We use convolutional neural networks to train efficient algorithms inspired by biological neural activities.
We don’t settle for average. Solutions that we deliver are tailored to fit in with customers’ needs and the nature of their data.
Our leading ML engineers, consultants, and infrastructure architects work together to achieve the best performance for our customers.
We pursue greatness in everything we do to give our Customers with best-in-class solutions in computer vision applications development.
InData Labs was challenged to develop a 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.
Our team managed to create a high-quality computer vision application that meets the Client’s needs and exceed expectations.
The client hired InData Labs’ team to develop a solution capable of solving the following challenges:
As a result, the Client got the object segmentation model for capturing objects and more effective processing of point clouds data.
Our Client was looking for expertise in face recognition to build a highly secure Face ID system.
Our 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.
The Result – Python-based PoC and consulting on the project.
We use the latest tools & technologies for computer vision development to help you overcome your challenges.
Implementation of a custom-built solution will generate additional value, automate the workflow and facilitate difficult tasks.