1. Era of Manual and Semi-Mechanization (Before the 1980s)
Core Features:Completely relying on manual visual inspection under light, supplemented by simple mechanical sorting.
Detection Capability:Extremely low efficiency (approximately 1,000-3,000 capsules per hour), defect recognition rate only 60-70%, prone to fatigue and emotional influences, with high misjudgment rate.
Main Drawbacks:Unable to detect microcracks and bubbles, lack of uniform standards, and poor quality stability.
2. Early Stage of Mechanization and Automation (1980-2010)
Technological Breakthroughs:Introduction of photoelectric sensors, mechanical vibration sorting and preliminary image processing technology.
Core Configuration:Single/double CCD cameras, LED light sources, mechanical conveying systems and simple algorithms.
Performance Improvements:
Detection efficiency increased to 10,000-50,000 capsules per hour
Defect recognition rate improved to around 85%, capable of detecting obvious defects such as cracks, black spots and deformations
Realized basic automatic rejection function, reducing the need for manual intervention
Representative Products:Early PI series hollow capsule light inspection machines, laying the foundation for automated inspection.
3. Era of Intelligence and Full Automation (2010-Present)
Technological Innovations:Integration of multi-camera array, high-resolution imaging (≥20 million pixels), multispectral sensing and AI deep learning algorithms.
Performance Leap:
Detection speed reaches 100,000-150,000 capsules per hour (for high-end models), with a maximum of 140,000 capsules per hour
Defect recognition rate exceeds 99.9%, and some equipment reaches 99.99%, capable of identifying micron-level defects
Able to detect complex defects: microbubbles, gradual color difference, thin spots, poor cutting, bonding length deviation, etc.
Intelligent Features:
360° all-round inspection, covering the entire capsule surface without dead angles
Automatically adapts to capsules of different specifications and materials (gelatin, plant-based)
Data recording and traceability functions, complying with cGMP requirements
Classified detection standards to meet customers' personalized quality needs