COMPUTER VISION

Face Recognition

Computer Vision

Definition

Face recognition is the technology that identifies or verifies a person's identity by analyzing facial features. In businesses, it is used for access control, attendance tracking, and security. It is important to implement it in compliance with GDPR and European AI regulations, which place strict limits on the use of biometric recognition.

Related terms

Computer Vision

Computer vision is the field of AI that enables computers to interpret images and video. It includes object recognition, quality inspection, license plate reading, and security video analysis. In Italian manufacturing, computer vision automates visual quality control, reducing defects reaching the customer and speeding up production lines.

Business & Strategy

GDPR

The GDPR (General Data Protection Regulation) is the European regulation on personal data protection. In the AI context, it imposes rules on how personal data is used to train models, requires transparency in automated decisions, and guarantees the right to explanation. Every SME using AI with customer or employee data must comply with GDPR.

Business & Strategy

AI Ethics

AI ethics is concerned with ensuring that AI systems are fair, transparent, non-discriminatory, and respectful of human rights. It includes avoiding bias, ensuring privacy, maintaining human control over critical decisions, and ensuring the explainability of results. The EU leads in AI ethical regulation with the AI Act.

EXPLORE

More terms in Computer Vision

Computer Vision

Object Detection

Object detection is the computer vision technique that identifies and locates specific objects in an image or video, drawing a bounding box around each one. It is used to count products on a conveyor belt, detect defects in components, and monitor safety areas. Algorithms like YOLO enable real-time detection, even on edge devices.

Image Classification

Image classification is the task of automatically assigning a category to an image. For example: 'conforming part' vs 'defective part', or automatically classifying scanned documents by type. CNNs (Convolutional Neural Networks) achieve accuracies above 99% on many industrial classification tasks.

Segmentation

Image segmentation is the technique that classifies every single pixel of an image, precisely identifying the contours of each object. Unlike object detection which draws bounding boxes, segmentation delineates the exact shape. It is used for precise measurements, medical image analysis, and autonomous guidance of robots and vehicles in factories.

Quality Inspection

AI quality inspection uses computer vision to automatically verify product conformity on the production line. High-resolution cameras and deep learning algorithms detect scratches, dents, color defects, and dimensional irregularities with speed and consistency impossible for the human eye. It reduces returns and rework costs.

Visual Search

Visual search allows finding products or information starting from an image instead of a keyword. A technician can photograph a component and the system automatically finds the product code, specifications, and availability. In e-commerce, it allows customers to search for products similar to those in a photo.

See all glossary terms →

Want to apply AI in your business?

Talk to us. The first call is free and no commitment.

Book a call