The robot is wirelessly controlled through a web browser interface, enabling live video streaming and remote navigation from any connected device. The night vision camera allows continuous monitoring in low-light or dark environments, making the system suitable for military, border security, and high-risk surveillance applications.

Image processing techniques are implemented on the Raspberry Pi to enhance autonomous intelligence. When the system detects metal objects using sensor, it automatically captures an image and sends an alert email along with the GPS-based location coordinates and also activate the buzzer for alerts. Similarly, face recognition algorithms are employed to identify unknown individuals. Upon detecting an unrecognized face, the robot captures the image and transmits an alert email containing both the image and real-time location data.

The integration of GPS ensures accurate location tracking, while web-based live streaming provides real-time situational awareness. This intelligent robotic surveillance system enhances security operations by combining remote control, night vision monitoring, object detection, face recognition, and automated alert mechanisms into a compact and cost-effective platform.

The main objectives of the project:

  To design and build a spy robot using the Raspberry Pi 3 Model B+.

  To provide live video streaming using a night vision camera for monitoring in dark areas.

  To control the robot wirelessly through a web browser.

  To track the robot’s real-time location using a GPS module.

  To detect metal objects using sensor techniques.

  To recognize unknown faces using face recognition technology.

  To automatically capture images and send alert emails with location details when a threat or metal is detected.

  To store captured data on an SD card.

  To ensure proper power supply using a rechargeable battery and voltage regulator.

  To develop a smart and cost-effective robotic system for security and surveillance applications.

The major building blocks of this project are:

1. Battery Power Supply.
2. Raspberry pi3 B+ processor.
3. SD card.
4. Night Vision Pi camera.
5. GPS.
6. LCD display.
7. L298 motor driver with DC motors.
8. LM2596 Buck converter.
9. Metal detector sensor.
10. Buzzer.

Software’s used in the project:

1. Raspbian OS.
2. WEB technology.
3. Express SCH for Circuit design.
4. Face recognition.

video:

Now a day’s every system is automated in order to face new challenges. In the present days Automated systems have fewer manual operations, flexibility, reliability and accurate. Due to this demand every field prefers automated control systems. Especially in the field of electronics automated systems are giving good performance.

The modules in the project are: RF transmitter and receiver modules for establishing wireless communication, DC motors for the robot movement.

Zone section consists of RF transmitter with battery power. Another section is with the vehicle (robot) which consists of microcontroller interfaced with DC motors and RF receiver module. The RF receiver gets the data relating to entry into slow speed zone and feds this to microcontroller. Microcontroller acts on the vehicle motors to reduce the speed of the vehicle.

The Microcontrollers used in both sections are loaded with an intelligent program written using embedded ‘C’ language.

The objectives of the project include:

1. Automatic speed control of vehicles when they enter in Speed control Zones like schools, hospitals etc..,

The major building blocks of this project are:

1. Regulated Power Supply.
2. RF Transmitter.
3. RF Receiver.
4. PIC Micro Controller.
5. Crystal
6. Reset.
7. LED indicators.
8. DC motors with driver.

Software’s used:

1. PIC-C compiler for Embedded C programming.
2. PIC kit 2 programmer for dumping code into Micro controller.
3. Express SCH for Circuit design.

Block diagram:

video:

From mobile phones to laptop computers, society has become increasingly dependent on portable electronic devices. Because batteries almost exclusively power these devices, and the energy per unit mass in batteries is limited, there is a trade-off between device power consumption, battery weight and duration of operation. This trade-off is particularly severe in the design of powered prosthetic joints that need to be lightweight while performing their sophisticated task over a full day of typical use.

The knee itself is an ideal starting point for energy generation as it has a large change in angle during walking and does so at significant speeds. A dynamo attached to the joint could therefore generate large amounts of power.

1. Power generation using knee motion
2. It does not cause any environmental pollution like the fossil fuels and nuclear power.
3. Knee set up also generates power from free source of energy.
4. Conservation of energy.
5. Storage of energy into rechargeable battery.
6. By using this project, we can save more power. That is, we can reduce the wastage of power.

Advantages:

1. This system helps in energy generation.
2. Efficient and low-cost design.
3. Easy to wear and operate.

Major components:

1. Battery
2. Charging circuit
3. Dynamo
4. DC Generator