Technology

3D Imaging and Robotics

3D imaging and image processing is becoming more accessible and being applied to an increasing number of vision system. Combine this with a robot for the ultimate automated solution, such as bin picking and depalletisation.

Deep Learning and Edge

Neural Networks are computing systems inspired by the biological neural networks that constitute the human brain. Convolutional Neural Networks (CNN) are a class of deep, feed-forward artificial neural networks, most commonly applied to analysing images. Deep Learning uses large CNNs to solve complex problems difficult or impossible to solve with so-called conventional computer vision algorithms.

High Speed Imaging

The big question is how to record or process such high data rates, often with tagged external events, for playback and analysis later at more manageable speeds. Standard camera interfaces that support very high data rates are CameraLink and more recently the increasing powerful CoaXPress.

Multispectral Imaging

Multispectral cameras capture image data at specific frequencies across the electromagnetic spectrum. The wavelengths may be separated by filters or by using instruments which are sensitive only to specific wavelengths. This not only includes the visible light but also frequencies beyond such as infra-red.

Infra-red Imaging

Infra-red imaging is beyond the visible spectrum, starting about 800nm and extending beyond. Humans cannot see these wavelengths but they do reveal interesting and often very important data. But to see or image this, it is necessary to use special sensor/camera technology.

Linescan Imaging

A line scan camera is capable of creating very high resolution images at very high speeds, without breaking the bank! Even when speed is not the issue, this technology overcomes the difficulties and cost associated with area scan solutions of very high resolution

Lenses and Lighting

Identifying the correct lighting technique to use within an inspection task is vital to the success of the solution. The light (photons) that is being reflected from the scene is ‘captured’ by the camera and forms the image which is at the heart of many computer vision or machine vision applications.