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Imaging systems

Home > What we do > Sensing, imaging, IoT > Imaging systems

Share our vision for imaging solutions

When we talk about imaging systems, we mean using cameras to see, identify, analyse and understand images.  A machine vision approach can be applied to any visual content: images, video – anything with pixels.

In the same way that a sensor system is more than just sensors, an imaging system is more than just a device that captures an image.

It encompasses a range of overlapping techniques and technologies – software and hardware, integrated systems, data analytics and engineering expertise.

The integration of these elements allows us to analyse images in detail and extract the most important information to solve multi-layered challenges.

Watch our imaging video

The computational processing of images has been around since the 1960s, but in recent years, advances in electronics, data storage and cloud computing have made machine vision pretty much accessible to everyone.

One of the reasons for this is that machine learning (the ability of systems to automatically learn and improve from experience without explicitly being programmed) has created new opportunities.

Additionally, the market is awash with affordable, high-quality camera devices that, coupled with tiny credit card-sized computers like the Raspberry Pi and the right engineering expertise, can generate incredible detail at very low cost.

Imaging has a huge range of applications

  • Object recognition
  • Object tracking
  • Image classification
  • 3D reconstruction

Machine vision is probably most well known as the key element of autonomous technologies such as those used in surveillance drones or robotic manipulators in factory assembly.

However, the accessibility of lower cost systems is now driving a huge range of applications outside these specific areas and now object recognition, object tracking, image classification or 3D reconstruction can enhance our understanding of an environment (usually one that is remote to us), so we can improve quality, eliminate error and reduce costs.

Used in:

Autonomous vehicles
Navigation, route planning, obstacle detection, traffic sign detection

The human face
Accessing personal devices, biometrics, photo tagging

Gesture recognition and control, vision-based user inputs, eye tracking

Industrial automation, robot guidance, package inspection

Medical images
3D visualisation and animation, 3D image segmentation, tumour detection

Remote sensing
Crop detection, atmospheric visibility, pollution monitoring

Object detection, people counting, crime prevention, home security

Pedestrian detection, driver monitoring, parking assistance, road toll charging

Tell us about your vision or imaging challenge

If you have a computer vision or imaging challenge, get in touch. The CENSIS Vision Lab has the expertise and equipment to explore new possibilities.