Motion detection has evolved from pixel comparison cameras into something more interesting, thanks to artificial intelligence.
What Is AI Motion Detection?
In older versions of motion detection, the device would compare two frames for pixel changes and alert when those occurred. But what if a moving object was not relevant to the operation? Or what if an actual person was mistaken for moving leaves?
In today’s motion detection methods, we se
e the use of artificial intelligence to make the process smart. It recognizes the cause of the movement and distinguishes what is and isn’t important.
How Does It Work?
For machine learning-based motion detection, **CNN architecture** is used the most often. This neural network type allows for object recognition through training with many different images.
Here is the basic workflow of such systems:
- Video Frame Capture** – the device continuously records images.
- Object Identification** – the machine learning model detects objects.
- Motion Tracking** – algorithms monitor objects’ location across multiple frames.
- Behavior Recognition** – determines if any actions performed are relevant.
- Decision Making** – if the motion is recognized and approved, a corresponding action occurs.
## Advantages of the SystemWith such a system, filtering becomes possible. In other words, a moving bird will not activate the system, while a human crossing the line in a camera’s view will trigger an alarm.
The technology is used in surveillance cameras, traffic systems, healthcare devices, etc.