![]() ![]() Here’s what happens: after the car has been identified by OpenALPR, we’ll check if the license plate and the car model match. The following image contains a flowchart showing the process. Then, the OpenALPR API returns the car details like: plate number, model, color, and the confidence of the results.Īfter identifying a car, we’ll do some verifications, and if we found an authorized car, we’ll trigger an event (that can be open the garage, for example). After that, the Pi sends a request to OpenALPR with the car photo to be identified. When the sensor detects motion, the Raspberry Pi camera takes a photo. Active infrared detectors: detects the presence of an object by detecting the reflection of infrared light.Ultrasonic sensor: detects distance to an object. ![]() ![]() Hall effect sensor: senses changes in magnetic field when the car is near.There are other sensors that may be more suitable to detect a car, for example: In this example, we use a PIR motion sensor to detect that the car arrives home. The following image shows how the detection process will work: Then, we’ll trigger an event based on the detected car (for example, open the garage when it detects that your car arrived home).First, we’ll identify a car using OpenALPR and Node-RED.For this project we’ll be using a software called OpenALPR (Automatic License Place Recognition) that has an API you can use to identify car plates and car models based on an image. In this project you’re going to learn how to build a car recognition system using a Raspberry Pi and Node-RED. ![]()
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