Applications
Explore How KOLOR TB™ Empowers your Field!
KOLOR TB™
Color influences every product we build, every material we study, and every image we see. KOLOR TB™ was designed to serve as a universal scientific platform for color computation, modeling, and visualization — helping engineers, scientists, educators, and designers connect theory with real-world applications.
Across science, engineering, design, and education, KOLOR TB™ enables accurate color computation, visualization, and analysis — empowering professionals to analyze, simulate, and optimize color with confidence and precision.
Below are key disciplines where KOLOR TB™ delivers measurable impact, providing the tools to understand, control, and apply color scientifically and effectively.
01
Food Science and Agricultural Engineering
Color-Based Quality Assessment: Measure and classify color changes related to ripeness, browning, or degradation.
Spectral & Imaging Analysis: Use reflectance or imaging data for objective evaluation of food products and crops.
Process Monitoring & Control: Track color variation during drying, roasting, or packaging for real-time optimization.
Product Appearance & Consumer Perception: Model how illumination and packaging influence perceived color.
Agricultural Material Characterization: Analyze pigment behavior in grains, fruits, and biological tissues using spectral data.
02
Soil Science
Soil Color Quantification: Measure and compare soil color using digital images or spectral data for standardized classification (e.g., Munsell comparison).
Moisture & Composition Analysis: Model how soil color changes with hydration, mineral content, or organic matter levels.
Remote & Field Imaging Applications: Process and analyze color data from satellite, UAV, or camera imagery for mapping and monitoring.
Environmental & Degradation Studies: Track color-based indicators of oxidation, salinity, and pollution over time.
Visualization & Reporting Tools: Use KOLOR TB™ to generate consistent color-based visuals and data summaries for soil surveys and research publications.
03
Biomedical Engineering and Health Sciences
Medical Image Visualization: Enhance color contrast and accuracy in histological, endoscopic, and dermal imaging.
Optical Sensing & Spectral Analysis: Analyze reflectance and absorption spectra for biological tissue characterization.
Illumination & Display Optimization: Design and evaluate medical lighting systems for realistic and fatigue-free color perception.
Perceptual Calibration & Ergonomics: Model human visual response to improve diagnostic reliability and observer comfort.