Al in Video Surveillance Market By Component (Hardware, Software, Services), By Deployment (Cloud-based, On Premise), By End Users (Commercial, Residential, Infrastructure, Defence and Military, Public Facility, Industrial), and By Region – Market Trends, Analysis and Forecast till 2034

Report Code: PMI523424 | Publish Date: June 2024 | No. of Pages: 180

Ai In Video Surveillance Market Trends

Developing Smart City Programs

Developments in the fields of deep learning and computer vision drive the use of Al in the video surveillance market. A subset of machine learning called deep learning has completely transformed computer vision by creating highly accurate and efficient algorithms for processing image data. Deep learning algorithms can analyze video streams in real-time for video surveillance, allowing for quick and accurate identification of objects, events, and anomalies. For example, they can recognize specific objects such as cars, people, or weapons, track their movements, and classify their behavior.