ESP32-CAM object detection without PIR sensor

The ESP32CAM is a powerful microcontroller that can be used for a variety of applications, including movement detection. One way to detect movement using the ESP32CAM is by comparing two consecutive frames from the camera and looking for changes between them. In this blog, we'll explore how you can use the ESP32CAM to detect movement by comparing two frames.

How does it work?

The idea behind this method of movement detection is to compare two consecutive frames from the camera and look for changes between them. If there is a significant difference between the two frames, then it can be assumed that something has moved in front of the camera. The larger the difference between the two frames, the more movement has occurred.

To implement this method, you'll need to capture two consecutive frames from the ESP32CAM's camera and compare them pixel by pixel. The difference between the two frames can be calculated by subtracting the value of each pixel in one frame from the corresponding pixel in the other frame. This will give you a new image that shows the differences between the two frames.

To determine whether movement has occurred, you'll need to analyze the new image and look for significant changes. One way to do this is by calculating the average value of the pixels in the new image. If the average value is above a certain threshold, then movement has occurred. The threshold can be adjusted to suit your needs and the sensitivity of the movement detection system.

Once movement has been detected, you can trigger alerts or perform other actions based on your application requirements.

Implementation

To implement movement detection using the ESP32CAM, you'll need to use a programming language such as Python and a machine learning library such as OpenCV. OpenCV is a popular computer vision library that provides tools for image and video processing.

Here are the steps to implement movement detection using OpenCV:

Capture two consecutive frames from the ESP32CAM's camera.
Convert the frames to grayscale to simplify the comparison process.
Subtract one frame from the other to get a new image that shows the differences between the two frames.
Calculate the average value of the pixels in the new image.
If the average value is above a certain threshold, then movement has occurred.
You can adjust the threshold value to suit your needs and the sensitivity of the movement detection system.

Conclusion

Movement detection using the ESP32CAM by comparing two frames is a simple and effective method that can be used for a variety of applications. By capturing two consecutive frames and comparing them pixel by pixel, you can detect movement and trigger alerts or perform other actions based on your application requirements. This method can be implemented using a programming language such as Python and a machine learning library such as OpenCV. With some experimentation and tuning, you can create a reliable movement detection system using the ESP32CAM.

[tuanpagaraji]

Kalau menggunakan PIR, ketika menggunakan battery sebagai power maka bisa menghemat battery ketika ESP32Cam dalam mode sleep. Kalau tanpa PIR, maka ESP32Cam mustahil bisa wake up ketika masuk kemode sleep.

[geirandersen]

Nice tutorial, but I wonder what is the benefit compared to use a PIR sensor?

[bikbunlin]

Hi have Videos full or soft code for esp32-cam

[Gerald-izmv]

hi nice video - are there any better cameras on the market than OV5640?

[clayywlter]

can you give the full coding for the esp32 camera?

[ReXoRofc]

Friend please provide source code, i need this for a project ASAP!