High tech with high impact.
We’re here to change the game.
IVISYS machine vision solutions merge cutting edge usage of hardware with in-house developed software, patented algorithms, and deep neural networks (AI). They’re robust against widely varying light conditions, expanding the range of applications and significantly increasing success rates and reliability compared to conventional systems
What you see is what you get. Then add some.
We have 20 years of experience of deep learning and vision. Two decades. Of Machine Vision. Let that sink in.
Our unique and patented software and our non-contact measurement machine vision hardware deliver outstanding real time monitoring and control with precise data logging and analysis. Yes, we know, it is as sexy as it sounds, all those cameras, LEDs and lasers working perfectly to solve your problem.
Vision is a set including a camera, sensor technologies, illumination, light, laser, and optics that together with our unique software enable geometrics, mathematic capacities with standards, conceptualization, and great design. Vision allows us to think outside the box, applying lateral and vertical thinking and design that give us important patterns, based on known information.
Still not convinced? Then, just imagine that the IVISYS team has brilliant
knowledge in all important areas in vision and surely will solve your problem. Then read the benefit summary in a summarized bullet form, that will surely impress you.
Vision explained, for busy people.
What’s all the fuss about, in essence?
Vision’s key selling points are impressive but reading long texts can be tedious, we know. So, for the busy, here is the gist of why Vision is worth getting to know:
– Non-contact measurement by using machine vision hardware components such as cameras LEDs and lasers.
– Unique and patented software solutions.
– Real time control and monitoring.
– Precise data logging and data analysis.
Vision explained, for the interested.
So, you’re tech savvy and inquisitive?
So, you want to know how vision really works, in detail?
Say no more, here is our stab at making it easy to understand.
We chose the vision hardware out of the task it’s supposed to perform, it’s specific application. Cameras can be monochromatic and/or in color and illumination can be LED-lights and/or lasers in different wavelengths. The camera lenses are chosen based on the specific geometry needed as well as field of view and resolution.
Light is made of elementary particles called photons. Photons ride the electromagnetic field as radiation. Depending on the thermal properties of the particle, it vibrates in different vibration speeds which, when carried by the electromagnetic field, becomes a wave. The wave then leads to radiation of different wavelength spectrums like UV, visible, infrared and so on.
When the photon hits an object, it reflects some wavelengths while absorbing others, leading the reflected photons to beam out into different directions or controlled directions, depending on what illumination technology was used.
The photons of the reflected wavelengths are gathered by a lens, differently depending on its construction. Lenses are chosen based on which electromagnetic spectrum we’re looking to detect, how much of the object that needs to be seen, at what distance the object is from the image acquisition device (e.g. camera) and what light reflection geometry needs to be detected.
When the light passes the lens, it is gathered by the image acquisition sensor in so-called “photon wells” where the photon’s energy is transformed into electrons that in turn are converted to a voltage level. This voltage level can be digitized to a value, or, a digital number – a DN, and its value depends on the sensor’s bit depth.
These DNs are then structured into a matrix as an image of the true world object, allowing for different kind of measurements and analysis to be applied.
Crystal clear, isn’t it?