CNN-based Automatic Coating Inspection System

Automatic MRI Prostate Segmentation based CNN-ASM

CNN-Based Automatic Urinary Particles Recognition

The urine sediment analysis of particles in microscopic images can assist physicians in evaluating patients with renal and urinary tract diseases. Manual urine sediment examination is labor-intensive, subjective and time-consuming, and the traditional automatic algorithms often extract the hand-crafted features for recognition. Instead of using the hand-crafted features, in this paper, we explo...

Automatic Inspection System for Cmos Camera Defect

This paper presents a development of automatic complementary metal-oxidesemiconductor (CMOS) camera inspection system to examine defects. The image capture board based on embedded linux using system-on-a-chip (SoC) and a complex programmable logic device (CPLD) is developed to capture CMOS sensor data. The captured sensor data is transferred to the host computer through TCP/IP socket communicat...

Automatic Persistent Inspection of SkyTran Track System

The monitoring of the SkyTran track condition is imperative. Damaged tracks can cause a fatal crash that can even claim lives. A mechanism for an automatic persistent inspection of SkyTran track system is suggested. The paper suggests employing basic digital camera that can produce JPEG images for this task. If a damage track segment is detected, the traffic in this segment should be halted imm...

CNN Computer for High Speed Visual Inspection

An image entails a huge amount of data and information. For this reason, image synthesis and analysis by computer systems requires a high processing time. This represents a handicap in systems where real time processing or an immediate interpretation is demanded as in visual inspection industrial applications. Present work, introduces a computer architecture for the construction of a compact re...