Before You Get Started with Operational Analytics (Powered by Wobot.ai)

Overview 

Before getting started, review the resources linked below to guide you through installation, camera onboarding, bandwidth considerations, and other configuration steps. An optimal setup helps you capture reliable data, reduce false detections, and maximize the performance of your analytics.

Camera Placement 

Proper camera placement is essential to collecting high-quality video and minimizing visual noise in analytic results. Cameras should be positioned to clearly capture the area of interest, with consistent lighting and minimal obstructions.

Refer to the following camera placement guides for detailed Recommendations based on your business environment. 

• Camera Placement Guide for Retail.pdf
• Camera Placement Guide for Quick Service Restaurants (QSR).pdf

Camera Onboarding

Before running AI tasks in Operational Analytics (powered by Wobot.ai), cameras must first be onboarded to the Wobot platform. Wobot supports multiple onboarding methods designed for different deployment environments, operating systems, and processing modes.

Choosing the right onboarding method ensures stable performance, efficient bandwidth usage, and accurate task processing for your analytics.

Learn more in Ways of Onboarding Cameras for step-by-step setup instructions, requirements, and supported configurations.

Common Onboarding Methods

The following methods are available for connecting cameras to the Wobot platform:

• Public IP / DDNS: Add publicly accessible cameras directly to the Wobot dashboard for fast cloud-based setup.
• WoConnect (WMS / SmartStreamer): Linux-based option for local or hybrid environments. Supports both Cloud and On-Premises task processing.
• WoConnect (Windows) Application: GUI-based Windows tool for relaying local cameras to the Wobot Cloud.
• Wobot Relay: Lightweight, low-resource method using FFmpeg for direct RTSP streaming to Wobot servers.

Bandwidth Consumption

Understanding bandwidth requirements is critical for ensuring stable performance when running Operational Analytics (powered by Wobot.ai). Bandwidth usage depends on how cameras are onboarded and whether AI tasks are processed in the cloud or on-premises.

For detailed benchmarks and configuration examples, see Bandwidth Consumption for Wobot AI Tasks.

Cloud Processing via Camera Onboarded through Public IP/DDNS

Cloud Processing via Camera Onboarded through Public IP/DDNS

Recommended Camera Settings 

To ensure reliable analytics performance and consistent video quality, configure your camera streams according to the recommendations below. Proper stream settings help maintain efficient bandwidth usage and improve the accuracy of AI task processing within Operational Analytics (powered by Wobot.ai). 

For detailed benchmarks and configuration examples, see Recommended Camera Settings for Wobot AI.