Update README.md

README.md

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 SnackTrap is an IoT solution aimed at catching housemates who are trying to steal food from your cupboards.
 
+![SnackTrap2](https://github.com/user-attachments/assets/2d1bff5f-3b1d-4bf6-b699-4fdbcb2fed14)
+
 It incorporates a Raspberry Pi 4 installed with a SenseHAT's light sensor and LED array.
 The device employs the Blynk IoT platform to interface with sensor data and record a history of device events.
 Alarm data is also sent to the Firebase cloud database in JSON format
@@ -15,6 +17,8 @@ The device uses the SenseHAT pixel array to visually illustrate when the device
 - Being armed
 - Being disarmed
 
+![SnackTrap](https://github.com/Kwee-Veen/SnackTrap/assets/118535981/247a2dc6-28d4-4078-ab6d-c8d366b7e2c6)
+
 To use the device, arm the device using either the joystick-press sequence or the Blynk smartphone app.
 The device will then respond if light levels are raised above a low threshold (5/255).
 While inside a dark area, such as the inside of a cupboard being monitored, the alarm will not be triggered.
@@ -29,5 +33,3 @@ The device's events, including device alarm, armed and disarmed state changes, a
 These events are triggered by HTTP requests sent from the device to the Blynk platform upon state changes.
 Reviewing the device's Timeline provides a full history of events, with alarms emphasised as Warning events.
 An additional copy of JSON data highlight the time of the event is sent to Firebase, serving as a backup of events and facilitating further data processing available if desired.
-
-![SnackTrap](https://github.com/Kwee-Veen/SnackTrap/assets/118535981/247a2dc6-28d4-4078-ab6d-c8d366b7e2c6)