Defect Detection & Quality Assurance
Defect detection and quality assurance refer to the process of identifying imperfections, anomalies, or faults in products during manufacturing or production processes. In industries such as automotive, electronics, and textiles, machine vision systems using cameras and deep learning algorithms are used to automate inspection tasks. These systems can detect cracks, scratches, or irregularities and help ensure the final product meets quality standards, reducing the need for manual inspections and minimizing human error.
OCR & Text Recognition
Optical Character Recognition (OCR) is the technology that enables machines to read and convert printed or handwritten text from images or scanned documents into machine-readable data. OCR is widely used for digitizing documents, processing forms, and extracting information from images like invoices, receipts, and business cards. Text recognition, often powered by deep learning models such as LSTMs (Long Short-Term Memory networks), improves OCR’s accuracy and adaptability, particularly for complex or distorted texts, handwriting, or multi-lingual documents.
Image Classification & Segmentation
Image classification involves categorizing an image into one of several predefined classes, such as identifying an image as a dog, cat, or car. It’s a core task in computer vision applications. Image segmentation, on the other hand, divides an image into segments or regions, which can be useful for understanding the structure of the image (e.g., separating a person from the background).
Facial Recognition & Authentication
Facial recognition is a biometric technology that uses facial features to identify or verify a person’s identity. It analyzes facial landmarks such as the distance between the eyes, nose, and mouth to create a unique biometric template. Facial authentication, often used for security purposes, compares the captured image to stored templates to confirm a person’s identity. This technology is used in security systems (e.g., unlocking phones or access control systems) and surveillance (e.g., identifying individuals in crowds).