The Hyperspectral Images for Inspection Applications (H2I) project is an EFRE/FESR funded project (FESR1111) coordinated by the Faculty of Computer Science of the Free University of Bozen-Bolzano and Microtec.
The H2I project aims at creating an hyperspectral image acquisition platform and a set of Deep Learning algorithms able to deal with hyperspectral images. Scroll down to find out more!
The precise knowledge of some phenomena and physical details of organic and non-organic materials has been the subject of extensive scientific research for years. Some of these features, such as defects in wood or fruit, are not easily detected with the technologies currently available. To detect and analyse these phenomena, there is a need for both reliable and fast technology to collect images of materials, and software solutions capable of generating useful information for humans, possibly in a very precise way and in real-time, to meet the needs of the industrial world.
Hyperspectral Images allow the composition of objects in a scene to be examined non-destructively. This is achieved by generating the band spectrum of each pixel in the scene. Hyperspectral Images are widely used in remote sensing applications, astronomy, and, more recenlty, in archaeology, agriculture and in the wood and food industry.
There are two main problems related with Hyperspectral Images. First, hardware platforms are expensive and complex. Second, extracting useful information from Hyperspectral Images is complicated because the spectral dimension is present in addition to the spatial dimension.
The main goals of the H2I project are:
The acquisition platform and the Deep Learning methods could be used in a variety of applications, such as inspecting wood recognition, wood's fungi, checking the ripeness of fruits and identifying any internal diseases that may be present, or checking the condition of archaeological artefacts.
The dissemination of scientific results is an essential part of research. To this end, we will organise a workshop on 'Hyperspectral Images for Inspection Applications: The Use-case of Wood and Fungi Detection'.
The workshop will last for one day and will take place on September 16, 2021. Participation in the workshop will be free via a Zoom meeting, upon a registration through the following google form: register .
The workshop will be scheduled as follows:
The program of the workshop can be downloaded here.