SWARM Perception Platform Overview
Technical Architecture
The SWARM Perception Platform consists of the following major components:
- SWARM Control Center (SCC): Manage and configure Perception Boxes and analyze your data with Data Analytics. For both, we provide APIs for integration.
- SWARM Perception Agent: The SWARM software running on our products P101/OP101/VPX. The video from an RTSP camera/USB camera is processed with the help of deep learning. Events are generated and sent via MQTT to either Data Analytics or a custom MQTT broker. Single or multi-camera processing is supported. The engine is configured solely through the SCC.
SWARM Platform Architecture
- Data Analytics API (high level)
- Events are sent and stored in Azure Cloud environment managed by Swarm
- Events are pre-processed by Swarm and easy consumable
- The API enables easy integration
- MQTT (low level)
- Requires the storing/processing of raw events
- Enables on the edge processing for time-critical and/or offline cases
The architecture is based on the following principles:
- Centralized data analytics, device configuration, and update management.
- Hosted in the Microsoft Azure Cloud.
- Decentralized camera stream processing at the edge
- Generated data (Events) and management traffic are decoupled.
- Support for heterogeneous network infrastructure
- Scale from one to thousands of SWARM Perception agents
Last modified 3mo ago