Computer Vision, Demystifying a Revolutionary Technology
Computer vision is one of the branches of artificial intelligence that focuses on the ability of computers to understand and interpret visual data, primarily images and videos. In this article, we will explore in detail what computer vision is and how it is revolutionizing various sectors with innovative solutions such as CORE, our video analysis platform.
Understanding Computer Vision
The Importance of Annotations for Object Recognition
At the core of computer vision lies object recognition (an object can be a cat, a dog, a car, a bike, a human...), an essential process that enables computers to identify and categorize elements in images or videos. To achieve high levels of accuracy in this task, annotations play a crucial role. They involve marking or labeling specific objects in images with information such as their location, class, size, and shape. Annotations serve as training data for computer vision algorithms, in particular convolutional neural networks (CNN). By exposing these networks to thousands of annotated examples, they learn to generalize and automatically detect patterns and features in images. Thus, annotations enable the machine to recognize not only objects but also subtler details such as the pose of an object or the different instances of the same object in a scene. They are therefore the key to achieving high accuracy in computer vision tasks such as object detection, semantic segmentation, and action recognition.
The Fundamentals of Computer Vision
Computer vision is based on several key concepts, including:
Image acquisition: Visual data is captured using cameras, sensors, or any other device capable of generating digital images.
Image preprocessing: Raw images are cleaned, corrected, and enhanced to eliminate noise and improve data quality.
Feature extraction: Computer vision algorithms identify patterns, objects, shapes, and other important features in images.
Decision-making: The extracted information is used to make decisions, automate tasks, or generate reports.
Recognizing and tracking an object then opens up possibilities for many sectors, whether in terms of security, safety, or operational excellence.
The Importance of Computer Vision
Computer vision automates tasks that were once tedious and prone to human errors. In logistics warehouses, for example, it optimizes the tracking of goods and ensures more precise stock management. At gas stations, it helps anticipate staffing needs based on traffic, detects fires as soon as they start, or classifies the types of vehicles present. In public facilities, it analyzes traffic, hotspots, prevents security risks... Computer vision is crucial for security and safety. It can automatically detect intrusions, monitor sensitive areas, and send real-time alerts. Those in charge can thus make decisions based on concrete information to optimize their operations according to projected traffic, plan preventive maintenance...
Focus on CORE, Our Video Analysis Platform
Developed in 2015, our CORE platform stands out as the most advanced video analysis solution in the French market. CORE retrieves and analyzes your video streams in real time to send you real-time alerts and reports on a clear and user-friendly interface, according to your challenges and expectations.
CORE adapts to many sectors:
Public facilities: Traffic management, analysis of customer behaviors, improvement of the customer experience…
Logistics warehouses: Real-time stock monitoring, optimization of logistics operations, reduction of losses…
Gas stations: Traffic monitoring, human resources management, preventive maintenance, vehicle classification…
Our solution is 100% agnostic and interfaces with all Video Managing Systems (VMS) on the market!