High-Speed Surveillance Query Tutorial309

Introduction

High-speed surveillance systems are becoming increasingly popular due to their ability to capture clear and detailed images of moving objects and events. These systems are used in a variety of applications, such as traffic monitoring, security and surveillance, and sports analysis. To get the most out of your high-speed surveillance system, it is important to understand how to query the data effectively.

Basic Query Types

There are two basic types of queries that you can use with high-speed surveillance systems: time-based queries and object-based queries.

Time-based queries allow you to search for events that occurred within a specific time range. For example, you could query the system for all events that occurred between 1:00 PM and 2:00 PM on a specific date.

Object-based queries allow you to search for specific objects or people in the surveillance footage. For example, you could query the system for all events that feature a specific vehicle or person.

Advanced Query Techniques

In addition to basic queries, high-speed surveillance systems also support a variety of advanced query techniques. These techniques can be used to narrow down your search results and find the specific information you need.

Some of the most common advanced query techniques include:
Boolean operators: Boolean operators (AND, OR, NOT) can be used to combine multiple search terms and create more complex queries.
Wildcards: Wildcards (* and ?) can be used to match any character or any string of characters.
Proximity operators: Proximity operators (NEAR and ADJACENT) can be used to find objects or events that are close to each other in the surveillance footage.

Using Queries to Find Specific Events

The following are some examples of how you can use queries to find specific events in high-speed surveillance footage:
To find all events that occurred between 1:00 PM and 2:00 PM on a specific date:
```
TIME >= '2023-03-08 13:00:00' AND TIME

2024-12-17

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