What is metaLOOK?
A meta-information system for managing raster files, used for efficient searching in metadata and its further processing.
- Searching metadata of existing photos, videos, and any raster files
- Custom selection of metadata for searching
- Adding other photos to the search without source restrictions (microscope, drone, camera, satellite images, orthophotomaps, etc.)
- Option to edit photos graphically, versioning, adding custom metadata, deleting metadata
- Read images directly from your computer’s hard drive without the need to import them
- Work in a user-friendly interface localized into SK/EN/CZ,..
- Export search results to XLS/CSV
Project name: Digitization of image processing and retrieval using metadata
Project code: 09I02-03-V03-00353
Investment name: 2: Support for cooperation between companies, the academic sector and research and development organizations
Component name: 9: More effective management and strengthening of research, development and innovation financing of the Recovery and Resilience Plan of the Slovak Republic"
How metaLOOK works?
Find a folder
The application will also search for the metadata of the pictures in subfolders. Without import.
Choose a format
I choose what type of format I want to search using metadata
Edit image
I edit the selected picture. I add attributes to the metadata. Delete metadata. I analyze the photo using AI.
Export
I export the selected metadata structures to XLS for further analysis.
Areas of application of the system
Science and research
Effective management and retrieval of experimental data from microscope images (Carl Zeiss, JEOL, OLYMPUS, TESCAN, etc.), CT devices, and laboratory equipment. Quick access to historical data based on technical metadata (magnification, date, device, operator, etc.). Support for team collaboration – annotation, versioning, and information exchange. Option to export data for further analysis (XLS/CSV). Use of AI to detect defects and anomalies in samples
Landscape management
Efficient intelligent search, management, and analysis of image and geoinformation data based on their metadata, GPS location, time stamp, and image similarity. MetaLOOK is used primarily in the areas of watershed management, landscape monitoring, environmental analysis, and the management and analysis of photographic documentation of field work
Healthcare
Search assistance from images processed by X-rays, CT scanners, any devices that generate photos/videos Categorization of images by diagnosis, type of examination, location, and physician Search by custom metadata - e.g., type of procedure, anatomical location, date of examination. Option of manual and AI-assisted labeling of findings
Agriculture
Assisting inspectors in working with large volumes of photos, including determining geographic coordinates and searching through all historical data
Forestry
Assistance with photo identification, timber harvesting inspections, hunting inspections/p>
Industry
Assistance in identifying photos during quality control on production lines
Tourism
When searching through a large number of photos from different locations, different sources/cameras/ cameras from a single tool
Insurance
Help with identifying photos in car insurance claims based on location
Source files.
Carl Zeiss, JEOL, TESCAN, OLYMPUS, LEICA microscopes, etc.
CANON,NIKON, OLYMPUS cameras, etc.
iOS and Android phones
Other devices whose output is a raster file/image: drones, digital X-rays, CT scanners, satellite images, orthophotomaps, scanners, camera systems
CASE STUDY: metaLOOK SW deployment in practice
The Faculty of Chemical and Food Technology STU (FCHPT STU) in Bratislava is one of the leading scientific and research institutions in the field of chemical, food and biotechnology sciences. It focuses on the development, synthesis and analysis of substances, materials and processes using the most modern analytical and spectroscopic technologies. The laboratories at the faculty often store data sets from advanced experiments, which are used to solve research tasks with a high degree of innovative potential.
How was it: before implementation
FCHPT STU researchers faced several key problems in managing image data:
Key features of the solution deployed at the customer’s site:
- search in metadata of images from CARL ZEISS EVO (TIFF) and JEOL (JPG) microscopes
- select and combine metadata when searching
- full-text search and filtering by values or ranges
- graphical editing of images, versioning and adding your own notes and metadata
- export metadata to XLS/CSV for further analysis
- direct work with images from disk without the need for import
- bulk management of attributes (adding, deleting)
- support for both WINDOWS and macOS operating systems
