Computer Vision Software Development Services

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.

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

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.

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

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

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

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.

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.

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.