Project ambition

The HyperImage project’s main objective is to develop a universal, fast, and cost-effective spectral imaging platform suitable for both long-range and short-range applications. The specific technical goals include developing innovative photonic components and high-performance spectral imaging sensors, creating advanced tunable optics, implementing modular design for automated material analysis and quality control, integrating lightweight and cost-effective spectral imaging modules into robots and vehicles, and establishing a cloud-based spectral image analysis platform. Ultimately, the project aims to validate and deploy the technology in diverse industrial use cases and establish commercialization routes and European value chains for spectral imaging systems across key market segments.

Development of Advanced Spectral Imaging Technology:

Create a universal, fast, and cost-effective spectral imaging platform suitable for both short-range and long-range applications. Develop innovative photonic components and high-performance spectral imaging sensors, reducing system costs by up to 60%. Implement fast, electrically switchable optical systems to enhance field of view, reduce system weight, and enable zoom applications.

Comprehensive System Integration and Application:

Deliver a modular, complete system solution for both standalone analysis and fully integrated image recognition systems. Develop standalone desktop spectral imaging systems for automated material analysis and quality control, and lightweight modules for integration into robots and vehicles. Establish a cloud-based image analysis platform for real-time data processing, storage, and analysis.

Wide-Ranging Industrial Application and Market Impact:

Validate and deploy the technology in diverse industrial use cases, including semiconductor manufacturing, agriculture, autonomous vehicles, and reconnaissance drones. Establish commercialization routes and European value chains, aiming for widespread adoption in key market segments. Demonstrate the technology's potential to significantly improve efficiency, accuracy, and sustainability across multiple industries.

The ambition of the HyperImage project is to revolutionize spectral imaging by developing novel, cost-effective, and versatile spectral image sensing solutions for a wide range of applications. By reducing system costs by up to 60%, enhancing field of view, decreasing system weight, and enabling advanced zoom and focus capabilities without physical adjustments, the project aims to overcome current limitations in optics. HyperImage seeks to deliver a comprehensive, modular system that integrates image sensor hardware, processing software, and a cloud-based analysis platform, making it universally applicable across industries. The project aims to combine the benefits of snapshot and linescan spectral sensors to create a state-of-the-art imaging solution that outperforms existing technologies in cost, efficiency, and functionality.

Project impact

The HyperImage project has a wide range of industrial applications, including in semiconductors, pharmaceuticals, agriculture, medical imaging, robotics, environmental monitoring, infrastructure surveillance, and remote sensing. It offers several key benefits over current technologies, such as increased accuracy, improved efficiency, enhanced product development, and better process control. Additionally, it enhances safety through non-destructive testing and improves healthcare outcomes by providing better disease diagnosis and treatment planning. With an estimated market potential of up to 36 billion USD by 2026 and a robust growth rate exceeding 10% CAGR, spectral imaging technology promises significant advancements across various sectors. These advancements will improve quality, reduce costs, and foster sustainability.

Industrial Applications Semiconductors: Quality and reliability analysis. Pharmaceuticals: Drug composition and quality control. Agriculture: Crop health monitoring, Detection and recognition of plant diseases: pest detection, and optimization of resources. Medical Imaging: Tissue analysis, and surgical guidance. Robotics: Enhanced environmental perception and object manipulation. Environmental Monitoring: Air and water quality, and hazard detection. Infrastructure Surveillance: Night vision and object recognition. Remote Sensing: Satellite imagery analysis and natural disaster detection


Key Benefits Over Current Technology Increased Accuracy: More precise data leading to better product quality and cost savings. Improved Efficiency: Automation reducing errors, increasing throughput, and saving time. Enhanced Product Development: Detailed material information improving product design and performance. Improved Process Control: Real-time monitoring enhancing efficiency and quality.


Market Potential and Growth Market Size: Estimated to reach 2 billion USD within 10 years, with some predictions as high as 36 billion USD by 2026. Growth Rate: Expected steady Compound Annual Growth Rate (CAGR) of over 10%.