# Key Features

AugeLab Studio is a high-performance, no-code engine for industrial computer vision. It streamlines the entire pipeline from image acquisition to hardware-level action.

### 🤖 Agentic No-Code Engine

* **Prompt-to-Production:** Describe your vision task in plain English; the **AI Assistant** automatically builds the logic, selects blocks, and designs the UI.
* **Visual Logic Flow:** Design complex image processing and decision-making pipelines using a drag-and-drop node interface.
* **Custom Plugins:** Build proprietary blocks or install any **Python package** to extend core functionality.

<figure><img src="https://63608322-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbH8gla5D8g5pQAK8IzR8%2Fuploads%2Fgit-blob-00dadc02a4707db038995fa1d2a4282e26eb0062%2Fexample_scene.png?alt=media" alt="AugeLab Studio Workspace"><figcaption><p>AugeLab Studio Visual Programming Interface</p></figcaption></figure>

### 🧠 Industrial AI & Vision Suite

* **State-of-the-Art AI:** Native support for **YOLO (v5-v11)**, **SAM**, and **D-FINE** for detection, tracking, and pose estimation.
* **Integrated Training:** Full AI lifecycle support with **Magic Annotation** (AI-assisted labeling), dataset management, augmentation, and in-app model training.
* **Production Libraries:** Sub-pixel measurement, OCR, barcode scanning, and surface anomaly detection.

### 🔌 Hardware & Industrial I/O

* **Camera Compatibility:** Plug-and-play for **Basler, Hikvision, iTek, and iRayple**, plus GigE Vision, GenICam, RTSP, and USB3 standards.
* **Automation Protocols:** Direct read/write access to **Siemens S7 PLCs**, **OPC UA**, **Modbus**, and **MQTT**.
* **Enterprise Connectivity:** Integrate via **REST API** or trigger alerts via Email and SMS.

### 📦 Flexible Deployment

* **Cross-Platform:** Deploy identical workflows on **Windows, Linux, or the Cloud**.
* **Edge Optimized:** High-performance runtime for **NVIDIA Jetson** (CUDA accelerated) and **Raspberry Pi**.
* **Headless Operations:** Deploy via **Linux API** or **Docker** containers for high-scale factory environments.
