In security-based applications, the primary aim of the user is generally wanting to identify a person or a vehicle, both of which could represent a security threat. Today, Using the artificial intelligence powered video analytics, the machine learning tool enables the developer to instruct the algorithm to pick up on specific characteristics and objects, similarly to how a human would visually disseminate a scene. The application will reduce thousands of hours of video into images that only show the objects you want (for example, a person, a car) after you choose the timeframe, the cameras, and the object (for example, a person, a car). Wavesys WVCA Forensics Software does this exactly this. It is Artificial Intelligence at next best.
Further, in order to support seamless integration with our AI powered video analytics, WVCA Forensics stores all metadata and captures snapshots. Users can search hours,
days and weeks of video footage for objects of interest through our application, assisting in reducing time-consuming investigation efforts.
Searches multiple cameras, creating an audit trail in minutes.
Create a unified search across different locations,it could be single site or multiple site
Accurately pinpoints specific objects and people of interest in post event searches
WVCA Deep Machine Learning Artificial Intelligence Analytics & Forensic Software Hardware Requirement | |||||||
Camera Series | Number of Cameras | Application | Processor | Graphic Card | Storage | Memory | NVME |
IP-30 | 16 | Machine Learning DLOT + Forensic Server and Client Application at Single Hardware | i5-12600KF | 8 GB RTX3050 | 20 TB ( 7200rpm) | 32 GB | 512 |
32 | i9-12900KF | 8 GB RTX3070 | 30 TB ( 7200rpm) | 64 GB | 512 | ||
IP-50 ( Ai Deep Learning) | 32 | Machine Learning DLOT on Edge / Forensic Server and Client Application at Single Hardware | i5-12600KF | 8 GB RTX3050 | 20 TB ( 7200rpm) | 32 GB | 512 |
64 | i9-12900KF | 8 GB RTX3070 | 30 TB ( 7200rpm) | 64 GB | 512 |