Technical Articles

AI for all

Deep learning opens up new fields of application for industrial image processing, which previously could only be solved with great effort or not at all. The new, fundamentally different approach to classical image processing causes new challenges for users - a rethink is necessary. IDS therefore presents an all-in-one embedded vision solution with which every user can implement AI-based image processing in just a few steps and without programming knowledge, and use it on a camera as an embedded inference system. Deep learning thus becomes user-friendly.

Onboard-Processing Ensenso XR

Embedded 3D vision

If large volumes or several object views are to be checked automatically by 3D cameras, e.g. on constantly running production lines in the automotive industry, high-resolution 3D result data must be generated and processed quickly. Stereo camera systems with large 5 MP sensors and variable baselines provide the ideal output data. However, interfaces and CPU power can quickly form a bottleneck in such high-performance 3D applications.


With GenICam as standardized camera interface and vision protocols like USB3 and GigE Vision, helpful components for developing machine vision applications are available.

But those who think that development tools of manufacturers are no longer necessary, don't know IDS peak yet.

"Image to information" with NXT Machine Vision

Intelligent, networking devices are components for future-oriented industrial processes. These cyberphysical devices communicate via standardized communication protocols to exchange valuable process information. Thanks to a powerful embedded vision platform, the industrial cameras of the IDS NXT family with modern image processing and machine learning methods are also part of this industrial revolution.

Redefining the industrial camera

Industrial camera feature sets constantly evolve. Although users can import these new functions themselves, they have no influence on the range of functions. IDS offers a solution: Vision App-based industrial cameras of the IDS NXT series can be extended by self-programmed apps which are also provided as standard-compliant features.

AI by Vision App

The upcoming vision app-based industrial camera series IDS NXT rio and rome are already AI-Ready! An AI-vision app developed by IDS turns them into energy-efficient but powerful inference cameras with integrated AI accelerators. With existing neural networks, a variety of AI-based image processing tasks can be realized in a short time.

Maximise the flexibility

Many image processing applications depend on varying working distances. As more and more production lines need to operate profitably both for mass production and also for small batches, the adaptation to new products and therefore varying working distances must be easy and quick to manage. Cameras equipped with liquid lenses focus in milliseconds on various object distances - for millions of cycles, wear-free and without moving parts. With the modular "Active Focus" (AF) board level cameras from IDS and liquid lens lenses from Edmund Optics (EO), camera applications with variable object distances can now be implemented more easily.

With (3D) camera technology to zero-defect production?

Software-supported camera image evaluation can assist in early detection of defects and irregularities in production processes. This early defect detection thus constitutes a significant contribution to quality assurance. Consequently, more and more production lines are equipped with state-of-the art camera technology, in an attempt to get closer to zero-defect production.

Enhanced 3D vision with Ensenso

Enhanced 3D vision

Today, environmental perception with 3D camera data enables many innovative applications that could previously only be done by humans. Robotics is therefore enabled to recognise objects in a human-like manner and to react independently to different situations. In addition to spatial dimensions and the location in the shop floor, it is also possible to draw precise conclusions about deviations or defects in comparisons with reference objects.

Rolling shutter sensors

An image sensor has many defining features. Since the introduction of CMOS sensors, the shutter system has surely become one of the best known of these. There are countless articles reporting on the benefits and drawbacks of shutter systems. So why another article about this topic? To date, very little light has been shed on certain aspects that are more relevant today than ever before.

Adaptive Automation

Until recently, robots were "blind" command receivers which followed predefined and fixed paths. Using 3D data, robots can adapt flexibly to the particular situation and react to their surroundings. A promise is becoming a reality. The robot is turning into an autonomous employee.

USB Power Delivery also powers your camera peripherals

Thanks to USB Power Delivery in the USB 3.1 Gen 1 board-level cameras, you will save space and money and won't need a power supply.

USB 3.1 - Step by Step

The new expansion stage of the USB 3 uEye LE series is the release of the first USB 3.1 Gen 1 industrial camera equipped with the new USB Type-C connector, but not yet with the transfer rate of 10 Gbps. Is this step reasonable?

Line scan mode represents a cost-effective alternative to a line scan camera

Line scan mode is indispensable for many applications in industrial machine vision, such as the analysis of curved surfaces or endless web inspection. If objects cannot be captured in their entirety in a single exposure due to their size or shape, they have to be "scanned". The camera captures information line by line to build up a picture of the object in its memory that is free of any perspective distortions or non-homogeneous lighting. When line scan mode is used, movement is essential – either the material to be inspected is moved, e.g. on a conveyor belt, or the camera itself moves, in which case a clock is required.