While the use of human skills for analysis and understanding of situations is incredibly unique and hardly replaceable, there are some limitations in relying solely on human skills in critical projects.
It is for these cases that the evolution of various types of technologies is becoming increasingly important at crucial moments of analysis and understanding. In the CCTV market, for example, the use of video monitoring and video analysis software is practically indispensable in medium and large-scale projects to mitigate human errors.
The importance of mitigating human errors lies in the fact that a human's full attention capacity works for a limited time, and in surveillance projects, seconds can be crucial for problem resolution.
With the use of video monitoring and video analysis software, the possibilities of implementing much more effective projects are greater because nowadays there are various software capable of analyzing and generating alerts in cases of intermittency or anomaly detection.
Deep Learning: An Evolution
The use of Deep Learning technology in CCTV and video analysis systems has expanded the horizons for detection, identification, and recognition models, as this technology is a variant of the term Machine Learning that utilizes algorithms for data separation and pattern creation without the need for manual implementations. However, unlike Machine Learning, Deep Learning (or deep learning) is a more advanced layer that allows the use of algorithms for continuous learning beyond pattern identification. Deep Learning seeks to integrate technologies into the most natural processing form possible; examples of systems that utilize Deep Learning include virtual assistants and Google Translate.
The use of this type of technology in conjunction with anomaly recognition systems can drastically reduce the chances of false alarms, in addition to improving processes such as facial recognition.
Nowadays, there are already various devices such as IP cameras that have specific processing for the use of Deep Learning (DLPU). A good example is Axis cameras. Models like the Q1615-MK III camera are examples of high-quality video capture and processing equipment.
You can learn more about Deep Learning and discover compatible equipment by clicking here and visiting our online store.
