![Automated defect inspection machine](https://www.rsipvision.com/wp-content/uploads/2018/08/Automated-defect-inspection-machine-300x200.jpg)
Automated Defect Inspection Using Deep Learning
![Macro Defects Detection](https://www.rsipvision.com/wp-content/uploads/2018/08/Macro-Defects-Detection-2-300x261.jpg)
Wafer Macro Defects Detection and Classification
![Echo cancellation](https://www.rsipvision.com/wp-content/uploads/2018/07/Echo-cancellation-300x127.jpg)
Echo Cancellation Using Deep Learning
Complete cancellation of returned acoustic echo signal is still an unresolved issue in signal processing. When a signal from a speaker in one end of
![Pattern matching](https://www.rsipvision.com/wp-content/uploads/2017/02/Deep-Learning-oranges-276x300.jpg)
Pattern Matching Algorithms
Pattern matching in computer vision refers to a set of computational techniques which enable the localization of a template pattern in a sample image or
![Extracting features from fingerprints](https://www.rsipvision.com/wp-content/uploads/2018/07/Fingerprints-features-300x116.jpg)
Extracting Features for Fingerprint Recognition and Matching
Fingerprint matching is used extensively in biometric identity verification for purposes ranging from forensic to recreational. The set of geometrical patterns, such as the ridges,
![Fingerprint segmentation](https://www.rsipvision.com/wp-content/uploads/2018/07/Fingerprints-300x159.jpg)
Fingerprint Segmentation Using Deep Learning
Automatic fingerprint recognition systems are based on the extraction of features from scanned fingerprint image. A successful preprocessing of the scan is an important first
![Industrial Vision System](https://www.rsipvision.com/wp-content/uploads/2018/07/Industrial-Vision-Systems-300x200.jpg)
Industrial Vision Systems
During the past few decades, industrial automation of manufacturing processes has taken a great leap forward. Specifically, the increased quality of yield is due, in
![Facial recognition with 3D](https://www.rsipvision.com/wp-content/uploads/2018/05/Facial-recognition-with-layers-of-3D-300x185.jpg)
3D surface reconstruction from single depth view
The advances in the manufacturing of depth sensors and camera technologies, such as LIDAR and RealSense cameras, have brought three-dimensional (3D) applications to the front
![Robot reading a text on digital tablet](https://www.rsipvision.com/wp-content/uploads/2018/01/Robot-reading-a-text-on-digital-tablet-300x200.jpg)
OCR for robots
![Robots working with boxes](https://www.rsipvision.com/wp-content/uploads/2018/01/Robots-working-with-carton-boxes-300x200.jpg)