Artificial Brain Unveils Planck Hyperspectral: Quantum-Powered Imaging Detects Everything from Vegetation to Aircraft in Seconds
- jiteshlalwani6
- Jun 1
- 2 min read
Rome, New York – June 2, 2025 – Artificial Brain, a pioneer in quantum computing software, proudly announces the launch of Planck Hyperspectral, a transformative product that redefines hyperspectral imaging with patent-pending Quantum Machine Learning (QML) technology. By overcoming the costly, error-prone, and time-consuming challenges of manual hyperspectral data labeling, Planck Hyperspectral delivers unmatched speed, accuracy, and cost efficiency, empowering industries to harness actionable insights for forestry, agriculture, environmental monitoring, defense, and marine applications.
Manual hyperspectral data labeling is a significant bottleneck, requiring extensive labor from skilled experts and often taking days or weeks, with high costs that burden organizational budgets. Planck Hyperspectral eliminates these barriers, requiring only 2–15 reference points for precise object detection and spectral signature extraction, compared to tens or thousands needed by conventional tools. Powered by QML, it reduces labeling costs by 50-70% and processes tasks in seconds, offering scalability across large datasets like those from the PRISMA satellite’s 240 spectral bands.
Planck Hyperspectral has demonstrated its versatility by detecting a wide range of objects, including seagrass underwater, algae blooms, pine trees, aircraft, and ships. A recent case study in Italy’s Circeo State Forest Nature Reserve highlights its capabilities, achieving over 90% accuracy in identifying pine trees among oak trees and water bodies using PRISMA satellite imagery. This success, overcoming challenges like similar chlorophyll concentrations, underscores its potential for vegetation classification, marine ecosystem monitoring, and defense applications. The case study is featured in the second installment of Artificial Brain’s newsletter series, released this week, which explores hyperspectral imaging’s transformative impact.
“Planck Hyperspectral is a breakthrough for industries grappling with complex hyperspectral data,” said Jitesh Lalwani, Founder & CEO of Artificial Brain. “By leveraging quantum machine learning to eliminate the inefficiencies of manual labeling, we’re making hyperspectral imaging faster, more accurate, and affordable. This launch is a pivotal step in our mission to drive innovation across space, energy, aviation, and defense.”
Key Features of Planck Hyperspectral:
Object Detection: Precisely labels objects in hyperspectral images, from seagrass and algae blooms to aircraft and ships, with minimal reference points.
Sample Generation: Rapidly extracts high-quality spectral signatures for analysis and model development.
Cost Efficiency: Cuts data processing costs by 50-70%, addressing the high expense of manual labeling.
Scalability: Seamlessly handles multispectral and hyperspectral datasets, ideal for large-scale applications.
The hyperspectral imaging market, valued at USD 16.17 billion in 2023, is projected to reach USD 42.35 billion by 2032, growing at a CAGR of 11.31% (SNS Insider). Planck Hyperspectral positions Artificial Brain at the forefront of this rapidly growing industry, addressing critical challenges and enabling applications from wildfire risk assessment to marine biodiversity monitoring.
About Artificial Brain
Artificial Brain is a leading quantum computing software company specializing in optimization solutions for space, energy, aviation, and defense. Through its quantum Software as a Service (SaaS) platform, PLANCK delivers faster and more accurate algorithms, outperforming traditional methods. With global operations across the United States, European Union, and India, Artificial Brain is committed to driving innovation through quantum technology.
Contact:
Email: contact@artificialbrain.us
Phone: +1 302 8035004
Website: https://www.artificialbrain.us
