FAQ

Machine vision refers to the capability of a system to interpret, inspect, and analyse visual data. This technology enables computers to have an advanced, highly precise, and efficient form of visual interpretation, significantly surpassing human capabilities. Continue reading here....

We pride ourselves on our fast, flexible approach. Coupled with wide experience & vast skill set, we build relationships with our clients based on mutual trust and respect.

We offer :

• Consultancy Services

• Software/ application development

• Full turn key project delivery

• System Support

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Calibration has two main purposes. To remove lens distortion and to convert pixel coordinates into real world values.

• Lens distortion can make straight lines appear curved, especially close to the edges of the image. This results in an image that is not a true geometric representation of the real world.

• Distances between features are meaningless in physical terms if they are measured only in pixels.

• Calibration targets are often made of features aligned in a grid pattern. This ensures that  features are distributed across the entire image and helps expose distortion effectively, particularly because regular patterns make geometric deviations easier to detect.

Read our in depth explanation here.

In the manufacturing industry, machine vision systems comprise sophisticated cameras, optics, lighting and algorithms. These components collaborate to capture and process images for diverse applications, acting as a constant overseer of the production process. Continue reading here...

Precision and speed are imperative in the world of modern manufacturing. The role of machine vision systems is becoming increasingly vital. These systems endow machines with the capability to 'see', thereby playing a crucial role in boosting efficiency and quality. The drive is always for higher productivity, the introduction of visual intelligence in machines is a key factor in achieving this goal. Read more here…

Other articles we have written, which are available on this site, have detailed the benefits and advantages available by integrating and investing in machine vision capability. There are of course risks and challenges. This article discusses these with the hope that a better understanding allows for mitigation for these risks. Please read on here….

Oculus vision’s objective is to use it’s experience & expertise to assist the industry in delivering better Machine Vision Systems. This is explained in more detail in the section ‘Why Oculus Vision’.

Oculus Vision develop systems with MVTec Halcon, Cognex VisionPro and OpenCV. Solutions are developed within Microsoft .NET Framework.

Oculus Vision’s primary focus is to support machine Builders, System Integrators and component suppliers. We aim to be a resource to help deliver, or to take responsibility for delivering, Machine Vision Systems.

With 20 years experience in the industry and over 100 camera systems deployed, we have devised solutions to a wide range of challenges.

We have developed particular expertise in High speed applications, challenging Optical Character Recognition & gauging applications.

Oculus Vision have experience developing 3D Profile and Displacement Sensor type solutions.

The 3D profiler application generated point data which was passed into MVTec Halcon for processing. The purpose was to inspect a machined surface for very small pits and elevations. This application is described in more detail in the resources section.

We deploy displacement sensors for Bin Picking and metrology applications.