Introduction
About
This is a user manual for Zene version 1. The manual is intended for users who want to learn more about Zene and how to use it.
Zene is an AI-powered platform that simplifies how machines "see" and act upon visual information. It's an all-in-one solution for computer vision tasks in all sectors, seamlessly bridging the gap between cameras, data processing, and smart device control.
Some key features of Zene include:
- Deep learning technology: Zene utilises powerful deep learning techniques to provide accurate and reliable computer vision solutions.
- Support for popular machine learning frameworks: Zene is compatible with various machine learning frameworks, allowing users to leverage existing tools and libraries.
- Drag-and-drop tool flow: Users can create custom computer vision solutions by simply dragging and dropping elements into their workflow.
- No-code interface: Zene offers a no-code interface, making it easy for users to customise their workflows with advanced conditional statements and automate processes.
- Remote user interface: Users can control Zene from any location with the remote user interface.
- Hardware accelerator support: Zene ensures fast automation processes by supporting hardware accelerators.
- Various camera inputs and communication protocols: Zene offers seamless connectivity and scalability by supporting different camera inputs and communication protocols.
Nomenclature
| Abbreviations | Definition | Useful links |
|---|---|---|
| AI | Artificial intelligence | Wikipedia |
| IoT | Internet of things | Wikipedia |
| OS | Operating system | Wikipedia |
| CPU | Central processing unit | Wikipedia |
| GPU | Graphics processing unit | Wikipedia |
| VRAM | Video random-access memory | Wikipedia |
| GHz | Gigahertz | Wikipedia |
| RAM | Random-access memory | Wikipedia |
| MB | Megabyte | Wikipedia |
| GB | Gigabyte | Wikipedia |
| ms | Millisecond | Wikipedia |
| μs | Microsecond | Wikipedia |
| fps | Frames per second | Wikipedia |
| HSV | Hue, saturation, value | Wikipedia |
| RGB | Red, green, blue | Wikipedia |
| BGR | Blue, green, red | Wikipedia |
| USB | Universal serial bus | Wikipedia |
| UART | Universal asynchronous receiver-transmitter | Wikipedia |
| HTTP | Hypertext transfer protocol | Wikipedia |
| HTTPS | Hypertext transfer protocol secure | Wikipedia |
| SSL | Secure sockets layer | Wikipedia |
| TCP | Transmission control protocol | Wikipedia |
| IP | Internet protocol | Wikipedia |
| EULA | End-user license agreement | Wikipedia |
| API | Application programming interface | Wikipedia |
| ODBC | Open database connectivity | Wikipedia |
| DBMS | Database management system | Wikipedia |
| SQL | Structured Query Language | Wikipedia |
| JSON | JavaScript object notation | Wikipedia |
| XML | Extensible markup language | Wikipedia |
| CSV | Comma-separated values | Wikipedia |
| HASS | Home Assistant | Wikipedia |
| RoI | Region of interest | Wikipedia |
Copyright Notice
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TensorFlow and Firebase are trademarks of Google LLC.
Camera Link®, Camera Link HS, GigE®, GigE Vision®, USB3 Vision, and CoaXPress® are either trademarks or registered trademarks of Automated Imaging Association (AIA).
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Disclaimer
While every effort has been made to ensure accuracy and completeness of the information in this document, no warranty or fitness is provided or implied, and Nabrio Co., Ltd. shall have neither liability nor responsibility to any person or entity with respect to any loss or damage arising from errors or omissions or by statements of any kind in this document.