This Section is taken from the eBook: ‘22 Raspberry Pi Project Ideas’
Idea In Short:
This autonomous robot patrols an area at night using a night vision camera to detect intruders and uses sound sensors to locate any disturbances, alerting security personnel if human presence is detected or loud sounds occur.
System Description:
This system consists of a self-driven patrolling robot equipped with a camera, microcontroller, and sensors for night safety. It automatically patrols a user-defined area, using a high-definition night vision camera to capture a clear video feed, even in low light. To optimize power, the system features noise sensors to detect any sudden loud sounds, triggering the robot to move toward the noise source to investigate. The primary controller, typically a Raspberry Pi or Arduino, processes sensor inputs and visual data. Integrated AI, such as Face Recognition and Object Detection, allows the system to distinguish between a secure environment, known individuals (like authorized personnel), and potential intruders. When an intruder or unauthorized face is detected, the robot stops, captures an image of the person, and sends an immediate alert to a central security hub or the user's device.
System Details:
Hardware Inventory:
Raspberry Pi 3
Camera
Infrared (IR) LEDs
Sound Sensor
Ultrasonic Sensor (for object detection)
Motor Driver
DC Motors
Wheels
Batteries (for power)
Chassis
Cables and Connectors
Software Inventory:
Operating System: Linux OS
Programming Language: Python
Working Blocks (System Process Flow):
Sound Sensor (Input): Detects sudden noises, such as footsteps or a falling object, sending a signal to the controller.
Raspberry Pi 3 (Central Processing): Receives signals from the sensors and processes image data from the camera. It runs algorithms for sound processing, object detection, and face recognition.
DC Motors & Wheels (Actuation): Receive movement commands from the Raspberry Pi (via the Motor Driver) to patrol the area or navigate toward a sound source.
Camera (Data Capture): Captures real-time night vision video and, when human presence is detected, a picture of the individual.
Communication Module (Output): Sends images of intruders or sound-based alerts to the security center or a linked mobile application.
System Application:
Autonomous nighttime patrolling in warehouses and industrial sites.
Security surveillance for large residential properties or corporate campuses.
Noise-triggered investigation in parking structures and areas with high safety concerns.
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…till the next post, bye-bye & take care.