Computer Vision Services

A branch of artificial intelligence, computer vision is concerned with getting information of value from visual inputs like images and videos. It operates in a manner analogous to human vision, in which repetition of object observation enables humans to discern patterns and formulate abstract distinctions, classify, and categorize known entities. Computer vision applications operate in a comparable fashion.

Computer vision solutions acquire visual inputs through the utilization of cameras or more advanced systems that rely on LIDAR, Infrared, or Time-of-Flight sensors. Following that, a convolutional neural network (CNN) was applied to the data. It is composed of extensive interconnected nodes and edges that replicate the behavior of a neuron. By leveraging neural networks, computer vision applications are capable of self-learning through the recognition of common patterns in examples using labeled data.

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.

There are numerous industries in which computer vision is utilized, including manufacturing, healthcare, retail, automotive, and agriculture. In the context of retail experiences, production process optimization, task automation in agriculture, and patient care improvement, computer vision can offer invaluable, custom-tailored solutions.

The development and deployment plan for a custom computer vision solution is dependent on a number of factors including the project’s complexity, the availability of data, and particular specifications. Without sacrificing quality, our team collaborates closely with clients to establish realistic timelines and guarantee on-time delivery.

In the development of computer vision systems, security is of the highest priority, especially for sensitive applications like facial recognition. We employ stringent security protocols, encryption, and privacy controls, among others, to protect data and guarantee adherence to regulatory obligations.

Our team possesses expertise in the smooth integration of computer vision systems with pre-existing software solutions and infrastructure. We assure interoperability and compatibility with legacy systems, third-party platforms, and proprietary software in order to minimize downtime and maximize productivity.

Although both image processing and computer vision deal with visual data, the terms should not be used interchangeably. Image processing consists, at its most fundamental level, of enhancing or modifying images to produce a new outcome. It is not required to identify or classify the visual content in order to modify certain of its attributes; rather, it can concentrate on enhancing contrast, resolution, obscuring sensitive data, cropping specific regions, and so forth. The primary objective of computer vision solutions is to comprehend the context of the visual objects they encounter and execute the intended response

We provide comprehensive support and maintenance services to ensure the smooth operation of your computer vision system post-deployment. This includes troubleshooting, software updates, performance monitoring, and proactive maintenance to address any issues and optimize system performance over time. Our dedicated support team is available to assist you with any queries or concerns promptly.