Custom Computer Vision Software Development

We are ready to help you add value to your business with ML algorithms for robust computer vision solutions with image analysis, object detection and video analysis.

Our team of experts at InData Labs helps businesses in the Healthcare, Fitness and Sports, E-commerce, Marketing and Logistics and other solve business challenges and fuel growth with the help of computer vision technology. No matter what solution you need – a surveillance video system, building access control system, invoice processing app or face recognition implementation for enhancing your customer experience and automating business processes, we’ll find the right way to address it.

Computer Vision Expertise

Our computer vision software development team builds custom solutions that perform:

Face Recognition for Employee Access Control

Touchless biometric authentication and managing attendance time and location.

Video Analysis for Automated Surveillance

We develop video analytics solutions for violent behavior detection in real time.

Recommender Systems Based on Visual Search

Recommender systems for personalized offers and increased customer engagement and loyalty.

OCR & Data Capture

Custom data capture and extraction solutions developed for document process automation.

Pose Estimation

Solutions to track and analyze human movement and activity, and give feedback on user’s workouts.

Object Detection, Tracking and Labeling

We extract insights from visual data for various needs: medical image processing, virtual try-ons, visual search, etc.

Computer Vision Software Development for Your Needs

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Adopt 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 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?

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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.

Image segmentation can be widely applied for object tracking, medical image processing, face recognition, and more.

Looking for help with your image analysis project?

Provide Better Experiences with Our Pose Estimation Model

Human pose estimation is one of the most burning issues in today’s computer vision community.

Our team is ready to aid you with a pose estimation model that can be implemented into 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 to help you provide better services.

This functionality will empower:

Crowd counting and tracking systems
AR experiences (ex. AI-powered coaches)
Gaming and entertainment
Robotics

Need help with your project?

Automate Manual and Repetitive Tasks with OCR & Data Capturing

Businesses deal with big data on a daily basis, and the volume is growing exponentially. Services such 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.

Use Product Matching and Provide Accurate Recommendations with Image Similarity Search

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 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?

Improve Your Customer Services with the Help of Face Recognition Solution

We deliver deep learning algorithms that automate the process of gathering and 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 an identity, increase security, and facilitate access control. In addition, you can efficiently use a facial recognition app to detect your VIP customers and boost the quality of customer service.

Need custom facial recognition solution?

Let’s Discuss Your Project

Boost Brand Visibility with Logo Detection & Brand Monitoring Solution

Object detection algorithms facilitate specifying object presence and location in 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 in an image or in broadcast video streams and show accurate brand visibility analytics.

Need a custom logo detection and brand monitoring solution?

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. This technology is in high demand for computer graphics, VR, and communication.

Our computer vision developers and infrastructure architects will help you generate immersive 3D models of the physical world easily and with great speed.

Have a project in mind?

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Computer Vision Software Development Services

Validating Data
We check and analyze the data provided. And if needed, clean, and relabel it.
Design and Optimization
According to the client’s requirements, we can design and optimize the solution for the specific platforms and devices.
Developing an App
We develop solid computer vision-powered applications catered to your business’ specifics and needs.
System Integration
We help integrate our solution into the client’s infrastructure and offer post production support.

Computer Vision Development Tools

We use the latest tools & technologies for computer vision development to help you overcome your challenges.

Deep Learning

Computer Vision

Software Development

Implementation of a custom-built solution will generate additional value, automate the workflow and facilitate difficult tasks.

Benefits

The use of custom-built computer vision solutions allow you to derive many practical benefits with minimal efforts.

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

Why Work With Us?

We make it easy to build excellent machine vision software. Discover the reasons to choose us as your computer vision technology partner.

Complex Computer Vision Models
We use convolutional neural networks to train efficient algorithms inspired by biological neural activities.
Customizable Solutions
We don’t settle for average. The solutions that we deliver are tailored to fit our customers’ needs and the nature of their data.
Cloud Infrastructure
Our leading ML engineers, consultants, and infrastructure architects work together to achieve the best performance for our customers.
A Highly Experienced Team
We pursue greatness in everything we do to provide our customers with best-in-class solutions in computer vision applications development.

Customer Success

An Object Capturing Model to Improve Cargo Security

The client hired InData Labs’ team to develop a solution capable of solving 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 problems

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

Image Capturing Solution to Predict Horses’ Performance During Races

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 horses during race events.

Our team managed to create a high-quality computer vision application that meets the Client’s needs and exceeds expectations.

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Creating a Deep Learning-Based Face ID Solution to Improve Security

Our client was looking for expertise in facial 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: a Python-based PoC and consultation on the project.

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Frequently Asked Questions

What technologies do you use to develop computer vision solutions?

OpenCV, Open3D, OpenCL, scikit-image, PyTorch, Tensorflow, CoreML
What computer vision apps can you develop?
Using computer vision technology, we can solve the following tasks:
- object detection
- image segmentation
- visual search
- brand logo detection
- facial recognition
- pose estimation
- motion analysis
How does R&D product development work?

Our business consultants and data scientists will help you figure out your project’s feasibility. We’ll study the requirements, and come up with the idea how to solve your business challenge with computer vision.
What domains do you work with?

Retail/eCom, Wellness & Fitness, Healthcare, Logistics, Marketing & Advertising, Fintech, Entertainment and Gaming, but we are flexible in applying our computer vision expertise to solve business challenges faced by companies in other domains.
My project requires work with sensitive data. How do you ensure data privacy?

We don’t keep your data. Your data is processed locally.
What are the key stages of a computer vision-based project?

First, we analyze the requirements and give an estimation. During the project setup, we choose the development model and build the team. We move to agile project development (progress reporting during each iteration and testing). Then we do the final testing and collect the feedback. Post-project support is offered upon the project completion.

Contact InData Labs

Want to derive maximum value from your data? Fill in the form below and start your computer vision project with InData Labs!