Computer Vision Software Development Services

Q: What is computer vision?

Computer vision is a part of artificial intelligence that aims to give computers the capability to understand a single image or a sequence of images. This is achieved by computer vision algorithm development. These algorithms simulate a human visual system and make decisions based on what they see.

Q: What is machine vision?

Machine vision typically refers to using computer vision in industrial automation and robotics.

Q: What technologies do you use to develop computer vision systems?

As a computer vision software company we use the following programming languages and technologies: Languages: C++, Python Frameworks: OpenCV, TensorFlow, Caffe, Caffe2, FFmpeg, DirectShow, OpenALPR, Tesseract.

Q: What computer vision applications have you worked with?

We have extensive experience in computer vision software development. The core applications we’ve worked with include image understanding and video analysis (after all, videos are nothing but a collection of images (frames)). Here are the common tasks we’ve solved in the software development with computer vision: Image segmentation Object detection Object recognition Object tracking Feature extraction Feature and color correction Face detection Image stitching

Q: What methods do you use for object detection?

To detect objects in an image, we use color extraction, shape extraction, background removal algorithms, and machine learning methods.

Q: What methods do you use for video analysis?

For video analysis, we use motion detection, human detection, and object tracking methods.

Q: How does R&D product development work?

If you aren’t sure whether your project is feasible, we can help you figure it out. Our R&D model is made for complex projects with a high degree of uncertainty. Here is how it works: our developers will study your requirements and propose some hypothesis on how the problem can be solved, and how much it might cost. During project development, we’ll run several experiments to find the most viable implementation and build the solution for you. If we find out that your project isn’t feasible, we will let you know early on.

Q: To build a computer vision system I need lots of data. Where do I get them?

For the development of computer vision, it’s best if you could provide us with the datasets. If it’s not possible, we’ll dig for images in open source databases.

Q: Where have you applied computer vision algorithms?

Some examples of our projects with computer vision development include a video monitoring system for fall detection for elderly care, a SkinView app for detecting melanoma skin cancer, and a video surveillance system for tracking football players on the field.

Object detection and image analysis can be extremely useful for various industries from sports and entertainment to manufacturing and healthcare. We build computer vision software using machine learning and AI techniques for robotics, smart city projects, medical software, and other solutions.

We provide R&D product development services for computer vision systems using particular tools like the OpenCV library.

What we do

Backed by many years of experience building hardware and software for embedded systems, our team helps businesses in manufacturing, healthcare, consumer electronics, and other industries to develop custom computer vision software. Our recent projects in this artificial intelligence field include a fall detection system for elderly care, a mobile app for detecting melanoma skin cancer, a computer vision system for sports facilities, and an autonomous robotic lawnmower.

What's included?

We provide R&D product development services for computer vision systems that extract, analyze, and understand useful information from a single image or a sequence of images. We use computer vision libraries such as OpenCV, optimize existing methods, and create custom algorithms based on mathematical models. Within the scope of computer vision services, we build systems that have a high processing speed and don’t lose performance. For implementing computer vision projects, we also use artificial intelligence techniques such as deep learning and machine learning.

Object detection

Being able to recognize whether an image contains a specific object is a primary task of a computer vision system. To detect objects we extract features from the region of interest (roi), then perform image classification and localization to know where in the image each object appears. We apply deep learning methods and computer vision techniques to develop object detection algorithms. These algorithms are applied to face analysis, handwritten character recognition, gesture recognition, machine vision, robots, and more.

Video analysis

Most of the time our video analysis algorithms are used in automated visual surveillance systems. These algorithms solve three tasks: 1) motion detection, 2) object tracking, and 3) scene understanding. To detect a moving object in the background of the scene we use background subtraction algorithms.

Object tracking relies on algorithms which have to find which object in a video frame relates to which object in the next frame. And the aim of scene analysis algorithms is to recognize activities in a scene. We apply rule-based approaches to identify abnormal behavior in the video frame and if it's detected, our system triggers a specific action like an alert or a call to the ambulance.

Check out our recent case study

A computer vision system for preventing falls of the elderly - Integra Sources project

Computer vision Healthcare Machine learning R&D Smart Home Startup

Algodroid R&D Project: Building a Computer Vision System for Preventing Falls of the Elderly

The project is a video monitoring system that uses computer vision and machine learning to track people's activities throughout the day and detect falls in real time

SEE THE PROJECT

Our clients include enterprise companies, research centers, and innovative startups from all over the world

How we work

Check out the table below to learn more about how we work and where your involvement is most needed depending on the type of collaboration model.

AREA OF RESPONSIBILITY	PROJECT-BASED OUTSOURCING	DEDICATED DEVELOPMENT TEAM	RESEARCH & DEVELOPMENT
PROJECT REQUIREMENTS	YOU	SHARED	YOU
UI DESIGN	SHARED	SHARED	SHARED
COMPUTER VISION SOFTWARE ARCHITECTURE	INTEGRA	INTEGRA	INTEGRA
DEVELOPMENT	INTEGRA	INTEGRA	INTEGRA
TESTING	INTEGRA	SHARED	SHARED
DELIVERY MANAGEMENT	SHARED	SHARED	—

Frequently Asked Questions

Read this information to better understand the process of software development for computer vision.

Computer Vision Software Development Services

What we do

What's included?

Object detection

Video analysis

Check out our recent case study

Algodroid R&D Project: Building a Computer Vision System for Preventing Falls of the Elderly

How we work

Frequently Asked Questions

What is computer vision?

What is machine vision?

What technologies do you use to develop computer vision systems?

What computer vision applications have you worked with?

What methods do you use for object detection?

What methods do you use for video analysis?

How does R&D product development work?

To build a computer vision system I need lots of data. Where do I get them?

Where have you applied computer vision algorithms?

Related services

Embedded Hardware Design & Development Services

Artificial Intelligence & Machine Learning Development Services

Robotic Development Services