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Enhancing Site Security and Operational Efficiency
With Deep Learning Technology
WHAT'S DEEP LEARNING TECHNOLOGY
Deep learning is a type of machine learning that trains a computer to perform human-like tasks, such as recognizing speech, classifying images, detecting objects, and even describing content. A real-life example is virtual assistants such as Siri and Cortana that are powered, in part, by deep learning.
Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using layers of processing. Fast developments of algorithms, neural networks, human-machine interfaces and computing power are now taking deep learning applications to new heights.
Deep learning has swept through the security industry too, enabling a number of solutions to support enhanced site security and operational efficiency. The benefits of deep learning for attribute recognition and image classification make it enormously valuable in the field of security. It touches on every aspect of the security industry – from facial and vehicle detection to behavior analysis.
FEATURES OF NUECAM DEEP LEARNING TECHNOLOGY
Facial Recognition
Security systems face growing challenges as users require higher accuracy and efficiency. This is why NueCam pioneers in automated face detection and recognition.
Vehicle Identification
The ability to identify vehicles provides major benefits in improving road safety, increasing traffic efficiency, and speeding up vehicle management in the parking lots.
NueCam Acusense Technology
AcuSense technology distinguishes people and vehicles from other moving targets. It takes alarm accuracy and search efficiency to a whole new level.
WORK SMARTER AND SAFER WITH NUECAM
Deep learning is a type of machine learning that trains a computer to perform human-like tasks, such as recognizing speech, classifying images, detecting objects, and even describing content. A real-life example is virtual assistants such as Siri and Cortana that are powered, in part, by deep learning.
Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using layers of processing. Fast developments of algorithms, neural networks, human-machine interfaces and computing power are now taking deep learning applications to new heights.
Deep learning has swept through the security industry too, enabling a number of solutions to support enhanced site security and operational efficiency. The benefits of deep learning for attribute recognition and image classification make it enormously valuable in the field of security. It touches on every aspect of the security industry – from facial and vehicle detection to behavior analysis.