Computer Vision Solutions



Frequently Asked Questions
Python is a trusted high-level programming language used for software applications. It is a trusted program, used by big companies like Google, NASA, Yahoo!, Wikipedia, and many more.
Areas where computer vision services could be applied:
- Digital twin
- Security
- Quality control
- Robotic process automation
- Manufacturing
- Healthcare
- Agriculture
- eCommerce
… and many more.
Computer vision is a branch of AI that focuses on extracting useful information from visual inputs such as pictures and videos. It works similarly to human vision – by observing objects repeatedly, humans learn how to identify patterns and can classify, categorize, and abstract distinctions between things they know. Computer vision applications work in the same way.
Computer vision solutions gather visual inputs from cameras or more sophisticated systems based on Time-of-Flight sensors, Radio frequency sensors, Infrared or LIDAR systems). Then the data was proceed by Convolutional Neural Network (CNN). It consists of a large interconnected nodes and edges which simulate how a neuron behaves. Relying on neural networks enables Computer Vision applications to self-learn by using labeled data to recognize common patterns in the examples.
A Convolutional Neural Network (also called CNN or ConvNet) is a type of neural networks that specializes in processing data that has a grid-like topology, such as digital images (they contain a series of pixels arranged in a grid-like way). A CNN can have tens or hundreds of layers that each learn to detect different features of an image. They can start from detecting very basic features, such as brightness and color, and increase in complexity to identify features that allow them to find unique object features. Convolutional Neural Network and deep learning can be considered a heart of computer vision applications.
Image processing and computer vision are related to visual data, but these terms can’t be used interchangeably. On the most basic level, image processing is modifying or enhancing images to get a new result. It doesn’t have to recognize or categorize the visual content to transform some of its features; it can focus on improving resolution, optimizing contrast, increasing resolution, blurring sensitive information, cropping some areas, etc. Computer vision solutions’ main goal is understanding the context of visual objects they see and taking the desired reaction.
Deep learning is a subset of machine learning that attempts to simulate the human brain’s behavior by getting knowledge from large amounts of data. Deep learning distinguishes itself from classical machine learning by the type of data it works with. While machine learning algorithms use structured, labeled data to make predictions, deep learning can ingest and process unstructured data, like text and images.
Computer vision keeps increasing its impact on the business of all industries – retail, security, healthcare, automotive, manufacturing, agriculture, and so on. Computer vision applications can be applied for face recognition, crowd detection, human abnormal behavior detection, parking detection, baggage recognition at airports, quality control on the production line, and more.
Python is a main programming language used for building computer vision solutions and artificial intelligence-based applications in general. The vast amount of libraries and frameworks, huge and vital community and relatively flat learning curve are the main reasons for its popularity. Particularly for computer vision applications, the OpenCV was created. Open Source Computer Vision Library (OpenCV) is an open-source computer vision and machine learning software library. It was designed to set a common infrastructure for computer vision applications and to speed up the development process.
Client Success Stories
Joshua is a very smart engineering lead and a kind person to work with. He built an amazing team who run various web properties with over 100 subdomains ensuring their reliability, security, scalability and privacy effectively. He is an expert in DevOps where he run many websites on pretty much any DNS solution in the market. He is also very experienced with SEO, localization, security, accessibility, privacy and compliance e.g. ADA, GDPR. Apart from his technical skills, Joshua also investigated various SaaS solutions for our web properties and negotiated cost effective contracts for them. My favorite thing while working with Joshua has been his “can do” attitude. His wide range of skills are a great asset to any web team.
Josh is amazing to work with, he and his teams always deliver amazing results! Very creative and innovative thinking, and his energy really brings a lot to any team he is on. He delivers absolutely stunning frontends that are very easy to work with but I’ve seen him go above and beyond on debugging infrastructure and backend issues as well as setting up very clever but simple deployment mechanisms. He really can work on almost anything! Also, just a very kind and empathetic person to work with, he is always willing to take time to explain things you don’t understand and coach people on the team who might need it. Very professional can’t recommend him enough!
I had the pleasure of being a technical support and contact for Joshua in my role of CTO at ConsenSys. Joshua worked hard and diligently to ensure the ConsenSys web presences were up and running well. He sourced and managed an outsourced team to deliver and worked with diverse stakeholders across our organisation. His understanding of technology and motivation to do great work are first class.
Working with Joshua has genuinely been a memorable and wonderful experience. His professionalism shines through meticulously and responsibly he handles tasks and his ability to inspire those around him. Joshua brings an incredible spirit of collaboration and team support – always ready to listen, contribute creative ideas, and step up to help his teammates overcome any challenge. The perfect blend of his serious work ethic and positive energy elevates every project, driving them to success and results that exceed expectations. I feel incredibly fortunate to have had the chance to work alongside someone like Joshua!