A Review of Pharmaceutical Robot based on Hyperspectral Technology

Area of Science:

• Pharmaceutical Science
• Analytical Chemistry
• Robotics Engineering

Background:

• Medicinal product quality and safety are critical for patient health.
• Traditional machine vision methods for pharmaceutical inspection have limitations due to RGB sensor constraints.
• Hyperspectral imaging (HSI) combined with robotics presents a novel trend for high-end quality inspection, integrating spectral and spatial data.

Purpose of the Study:

• To provide a comprehensive review of hyperspectral imaging-based medicinal product inspection.
• To discuss pivotal pharmaceutical applications of HSI technology.
• To summarize the development tendencies and prospects of HSI-based robots in pharmaceutical quality control.

Main Methods:

• Discussion of Raman spectroscopy and hyperspectral imaging technologies and hardware.
• Review of HSI applications in pharmaceutical quality inspection scenarios.
• Analysis of counterfeit drugs detection, active component analysis, and quality testing of medical materials.

Main Results:

• HSI technology provides rich spectral information alongside spatial knowledge, enhancing inspection capabilities.
• The paper covers key applications including counterfeit detection, tablet analysis, and herbal medicine quality assessment.
• Raman spectroscopy and HSI are discussed as foundational technologies.

Conclusions:

• Hyperspectral imaging-based robots are emerging as a powerful tool for pharmaceutical quality inspection.
• This technology offers significant advantages over traditional RGB-based machine vision.
• Future development trends point towards increased adoption in ensuring medicinal product safety and efficacy.