Pipeless Agents
Pipeless Agents is a serverless computer vision AI platform that can convert any video stream into structured data and actionable event streams in real time, supporting automated task processing across multiple scenarios—from industrial safety monitoring to retail foot traffic analysis.
Pipeless Agents can be quickly enabled in three steps: create a project (each project includes an intelligent agent that can sync with a code repository and multiple video-processing pipelines), connect a video source (compatible with IP cameras, online streaming, etc.), and customize agent logic (requiring only two lines of code to invoke Webhooks, write to databases, or send messages). The platform offers a pre-built agent catalog covering scenarios such as PPE monitoring, table-occupancy statistics, face blurring, checkout queue analysis, customer age grouping, and people recognition. All video frames are analyzed instantly and then immediately discarded, with support for custom region processing and end-to-end encryption to ensure privacy compliance.
Features
Supports industrial-grade PPE monitoring: it sends real-time notifications when workers fail to wear designated personal protective equipment, with customizable PPE types;
Provides table occupancy monitoring: accurately tracks the duration customers spend at restaurant tables and supports exporting data to Google Sheets or any data aggregation platform.
Use cases
Industrial scenario: detects whether workers are wearing personal protective equipment (PPE), with support for customizing the required PPE types.
Catering scenario: Monitoring the duration customers spend at their tables in a restaurant
Retail scenario: Exporting checkout queue duration data to a data aggregation platform or Google Sheets
How to use
Creating a project: Each project includes one Agent and several video pipelines, with the Agent synchronously processing all pipelines
Connecting video sources: Supports various input sources such as IP cameras and online streaming platforms
Configuring filters: The system automatically extracts structured data and events from the video stream, which the Agent then receives
Updating Agent logic: With just two lines of code, the Agent can start receiving data, supporting operations like invoking Webhooks, sending messages, and storing data in databases
Traffic data
Third-party estimates, not first-party analytics. Periods, devices and providers are shown separately.
No verifiable traffic data available
AI NEWS.cc