Ai in Security and surveillance - Labellerr AI

Ai in Security and surveillance

A collection of 5 posts

License Plate Recognition

Ai in Security and surveillance

How License Plate Recognition Works?

Automatic License Plate Recognition (ALPR) explains how computer vision detects, cleans, and reads vehicle license plates using classical image processing and OCR, revealing the challenges and real-world techniques behind modern traffic and security systems.

Computer Vision In Security & Surveillance

Computer Vision in Security & Surveillance

Explore how computer vision is revolutionizing security and surveillance, enabling real-time threat detection, facial recognition, and automated monitoring to enhance safety and operational efficiency across various sectors.

How Computer Vision Based ATTOL System Helps Air Crafts in Landing & Takeoff

How Computer Vision Based ATTOL System Helps Air Crafts in Landing & Takeoff

ATTOL (Autonomous Taxi, Takeoff, and Landing) enables planes to autonomously navigate runways, reducing pilot workload and reliance on costly ILS systems. By leveraging computer vision and machine learning, ATTOL enhances safety, efficiency, and future air travel.

7 Best Data Labeling And Annotation Service Providers For Security & Surveillance

Ai in Security and surveillance

7 Best Data Labeling And Annotation Service Providers For Security & Surveillance

In the rapidly evolving Security and Surveillance industry, the demand for accurate and efficient data and image labeling services has surged dramatically. As advancements in artificial intelligence and machine learning continue to reshape the landscape of security solutions, the importance of high-quality labeled data cannot be overstated. Data labeling is

Top 7 Data Annotation and Labeling Tools For Security and Surveillance Industry

Ai in Security and surveillance

Top 7 Data Annotation and Labeling Tools For Security and Surveillance Industry

In the rapidly evolving landscape of security and surveillance, the integration of artificial intelligence (AI) and machine learning (ML) technologies has become pivotal. Central to these advancements is the process of data labeling and annotation, which transforms raw data into actionable insights. Data labeling involves assigning meaningful tags to raw