Advanced Guides

This section is not going to be very structured, we will assume that you have finished the basic guides, and know how to create AI Tasks. The following topics will provide you with additional knowledge to further customize your AI tasks

📄️ Input Trigger

By default, the AI Task may run continuously, consuming system resources. To optimize performance, you can configure it to execute only at certain conditions, rather than having it to be always executing, which is called Input Trigger

🗃️ Event Triggers

10 items

📄️ Camera Pre-Processing

The Camera Pre-Processing feature plays a vital role in enhancing the quality and relevance of video input before it is passed to AI analysis engines. By applying functions like cropping, brightness adjustment, contrast enhancement, and dynamic ROI tracking, the system can focus on important regions of interest and improve detection accuracy. This step ensures that the input fed to the AI models is clean, focused, and optimized, leading to more reliable and efficient results in tasks such as object detection, license plate recognition, or behavior analysis.

📄️ Facial Recognition Service

The Facial Recognition Service enables users to add users, capture face images for face registration, create face groups, adjust face threshold sensitivity, and activate additional face attributes such as gender and emotion for your Facial Recognition tasks.

📄️ License Plate Recognition Service

The ALPR (Automatic License Plate Recognition) Service allows users to control ALPR engines and ALPR database for license plate detection and recognition tasks

📄️ Notification Recipients

The Notification Recipients function allows you to add and manage user information for receiving notifications via mobile app push notification or email when setting up event triggers.