Videonetics has developed a unified platform to manage video data as well as sensor-generated data in a single unified framework. This Unified Video Computing Platform is powered by our Artificial Intelligence and Deep Learning engine, which is trained on humongous data sets, making our solutions incredibly robust and smart. It also enables us to reliably infer patterns in real time, and create deep situational awareness, so that you can make smarter decisions.
Unparalled Channel Support
More channels per server (highly optimised for CPU and GPU), to ensure the lowest total cost of ownership (TCO) and better ROI.
Highly scalable software architecture. Highly optimised AI codebase that supports multi-threaded processing of the algorithms, and multiple analytics functions to run in parallel, in each camera in the surveillance system. The footprint is very small with reduced computational and memory requirement, because of its indigenous design and innovative architecture.
Works in Windows, Linux, Unix, macOS.
Agnostic to any make and model of camera. It is built on robust technology and can work with any video data, whether real-time or archived and generated from any source.
Flexible deployment options across the edge, on-premise, or on-cloud. Deployable in hybrid and fog computing architecture, hence adaptable to 'Video Analytics as a Service' computing paradigm.
Continuous Self-learning Approach
Proprietary self-configure, self-calibrate and self-learning approach provides automatic continuous learning capability from the field data, and hence enhanced detection, classification and recognition accuracy over time.
Based on Artificial Intelligence
Videonetics AI-based Video Analytics is enabled with a collection of indigenously developed AI techniques, based on advanced image and video processing, computer vision and pattern recognition. Leveraging our numerous proprietary models, AI and underlying deep neural networks (DNNs), enables the platform to efficiently compute automatic object/ pattern detection, multi-level classification, pose estimation, semantic segmentation etc.
Integrated with Intelligent VMS
Integrated with Videonetics enterprise-class Intelligent Video Management Software (IVMS) this homogenous, unified video computing architecture helps both the VMS and VA platforms to share common computing, data path, and IT infrastructure resources, with efficient utilisation of computer and memory resources. Resulting in a highly optimised cost of IT infrastructure, hence lower total cost of ownership (TCO), and higher ROI. It is also extremely important for ease of maintenance after deployment.
Intelligent video and event search features to expedite investigations.
Ability to prioritise alerts according to criticality. The automatic alert manager built into the platform notifies the operators instantly by different alert mechanisms such as email, SMS, WhatsApp, chat etc.
Easy-to-use, intuitive and feature-rich desktop, handheld and web user interface.