How does vizcam object-oriented software hub work?


Vizcam is an object-oriented software hub that is built to allow users freedom of design and implementation. All our modules are designed to be flexible in their implementation and customizable for different use cases. In this article, we will discuss how Vizcam stands out against other machine vision solutions with its object-orientation approach.

The current machine vision market is dominated by by-products that are built to solve a very specific problem. These products are usually flexible in their setup but lack the flexibility needed to be used for different use cases. Because of this limitation, large companies have resorted to developing their own custom systems to meet their needs, and thus we see a gap between the machine vision tools available to smaller companies and those available only to the largest corporations.

Vizcam’s vision is to bridge this gap and allow users easy access to a machine vision system with unlimited possibilities. Some of the ways we do this is by offering object-oriented subsystems that can be used as they are or customized for use in different projects. We also offer a software hub for users to upload their own codes when our initial system doesn’t suit their needs.

Let’s compare Vizcam with other machine vision solutions by discussing how they work in the areas of flexibility, customization possibilities, and user support.


Vizcam provides three customizable methods for users to solve their machine vision problems. They are the Vizcam Python API, the Vizcam C++ API, and our software hub for uploading custom codes.

The Vizcam Python API is designed to be used for simple use cases with its ready-made solutions that allow users to jump right into project implementation. This API is easy to use and lets users create a working machine vision system without having to learn the inner workings of the Python programming language.

The Vizcam C++ API allows complete control over individual functions. This API gives users access to many critical aspects of their machine vision projects, whether it be controlling LED lights, acquiring data from analog sensors or even having full control over camera settings.

The Vizcam Cloud is designed to allow users the freedom of uploading their own codes. This option allows users to use a machine vision system that has been completely customized for their project without having to develop all the groundwork themselves.


Vizcam offers a range of features to users that allows them the freedom to implement the machine vision system of their dreams.

A simple use case is our LED Controller Module, which provides complete control over a camera’s red green and blue channels. This module lets users integrate their own LED lighting system into a machine vision project without having to learn how to create complex lighting setups.

The LED Controller Module can be used as-is but it can also be customized by users to give their machine vision system a bit more of an edge. One such example is how Vizcam’s own research and development has modified the LED Controller Module to automatically detect defective LEDs and alert the user.

This method of customization is known as a “Hook” in Vizcam. Users can write their own custom codes and implement them into the system to meet their needs.


Our primary goal at Vizcam is to allow users easy access to a machine vision system for unlimited applications. To this end, we strive to keep user support open and accessible.

We believe that user knowledge is a key component to developing a community of machine vision experts. We have taken steps to encourage this by offering extensive manual, documentation, and technical support via email and phone for all registered users.


Vizcam is a machine vision system with unlimited possibilities. We provide users with three customizable methods for projects and the ability to upload their own codes using our cloud computing hub.

Our goal at Vizcam is to empower anyone with unlimited access to a machine vision system with which they can find new applications for automation in their daily lives.