Raspberry Pi 3 – HVS Technologies https://www.hvstechnologies.in Hub for Versatile Science & Technologies Fri, 03 Apr 2026 08:12:53 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://www.hvstechnologies.in/wp-content/uploads/2025/07/favicon-32x32-1.png Raspberry Pi 3 – HVS Technologies https://www.hvstechnologies.in 32 32 HVS-4656. Social delivery Robot using Raspberry pi with Rain Protection https://www.hvstechnologies.in/product/hvs-4656-social-delivery-robot-using-raspberry-pi-with-rain-protection/ https://www.hvstechnologies.in/product/hvs-4656-social-delivery-robot-using-raspberry-pi-with-rain-protection/#respond Fri, 03 Apr 2026 08:11:17 +0000 https://www.hvstechnologies.in/?post_type=product&p=18086 The Social Delivery Robot using Raspberry Pi is an intelligent autonomous system designed to deliver items while interacting seamlessly with its environment. The robot uses a Raspberry Pi 3 as the central control unit, integrating multiple sensors including an SR04 ultrasonic sensor for obstacle detection during movement, an IR sensor, a rain sensor to control the door mechanism, and a GPS module for location tracking. The system incorporates a Pi Camera for live video streaming and QR code scanning, enabling the robot to identify and manage orders represented by distinct QR codes (earphones, speakers, laptops, smartphones).

The robot’s mobility is controlled via DC motors driven by an L298 motor driver, with an additional motor managing the door’s opening and closing based on rain sensor input. A speaker provides voice alerts to enhance interaction and safety. The robot is powered by a rechargeable battery regulated by an LM2596 voltage regulator and supported by a charging circuit.

while moving forward, when the robot detects obstacles or rain, it sends SMS alerts with the current GPS location through a GSM module, ensuring real-time updates to the user. The system features a web interface that allows users to start the robot, initiate QR code scanning, view live streams, and monitor order count and serial numbers dynamically as the robot scans items during delivery.

This design highlights the integration of Raspberry Pi with sensors, communication modules, and web interfaces to develop a low-cost, efficient, and socially interactive delivery robot suitable for indoor and controlled environments.

 

Objectives:

  • Integrate Raspberry Pi 3 with sensors such as ultrasonic, IR, rain sensor, and GPS for navigation and environment sensing.
  • Implement a Pi Camera for live streaming and QR code scanning to identify delivery items.
  • Control DC motors for robot movement and door operation using an L298 motor driver.
  • Develop a communication system using GSM to send SMS alerts with location in case of obstacles or rain detection.
  • Create a web interface for remote control, live monitoring, QR code scanning activation, and order management.
  • Ensure power management with a rechargeable battery and charging circuit.

 

The major building blocks of this project are:

 

  • Battery.
  • Raspberry Pi.
  • Pi Camera.
  • IR Sensor.
  • Ultrasonic Sensor.
  • GSM
  • GPS
  • Speaker.
  • Rain Sensor.
  • L298 With DC Motors.
  • Door
  • SD Card.
  • Charging Circuit.
  • LM2596

 

Software’s used:

 

  • Raspbian OS.
  • TinyML and deep learning techniques

 

Software’s used:

  1. Express SCH for Circuit design.
  2. Raspbian OS, Python language.
  3. Web technology.

 

 

 

 

 

video:

]]> https://www.hvstechnologies.in/product/hvs-4656-social-delivery-robot-using-raspberry-pi-with-rain-protection/feed/ 0 HVS-3651. AI ENABLED UNMANNED AUTONOMOUS BOAT FOR REAL TIME THREAT DETECTION https://www.hvstechnologies.in/product/hvs-3651-ai-enabled-unmanned-autonomous-boat-for-real-time-threat-detection/ https://www.hvstechnologies.in/product/hvs-3651-ai-enabled-unmanned-autonomous-boat-for-real-time-threat-detection/#respond Sat, 20 Dec 2025 07:58:51 +0000 https://www.hvstechnologies.in/?post_type=product&p=9325 The main aim of this project is to design an AI based unmanned boat which can detect the threat and which can be controlled by the user from WEB browser using smart phone. This boat consists of ultrasonic sensor to detect the obstacle. If the boat detects the obstacle while moving it will stop automatically. This robot consists of Pi camera to recognize the objects using artificial intelligent and the recognized object name will display on screen with bounding BOX.

This BOAT is designed in such a way. It makes use of the ultrasonic sensors to detect the obstacle present in, if the boat detects the obstacle, it will stop automatically. DC motors along with spin are used to moves the boat which is connected to the raspberry pi through relays. Based on the user instruction raspberry will control the boat accordingly.

 

 

Objectives of the project:

 

  • Design a surveillance boat.
  • AI based object detection and classification.
  • WEB technology to control the boat.
  • Automatic obstacle detection and stops.
  • To achieve this task using RASPBERRI PI3 processor.

 

The major building blocks of the project are:

 

  • Battery power supply.
  • RASPBERRY PI 3.
  • Pi camera module.
  • DC motors.
  • Relays.
  • LM2596.

 

Software’s used:

  • Raspbian OS.
  • python programming language.
  • Express SCH for Circuit design.
  • WEB technology.
  • AI

 

 

Block diagram:

video:

]]> https://www.hvstechnologies.in/product/hvs-3651-ai-enabled-unmanned-autonomous-boat-for-real-time-threat-detection/feed/ 0 HVS-3339. IOT Based Real-Time Air Quality Monitoring and Prediction System Using Random Forest and Decision Tree Algorithms. https://www.hvstechnologies.in/product/hvs-3339-iot-based-real-time-air-quality-monitoring-and-prediction-system-using-random-forest-and-decision-tree-algorithms/ https://www.hvstechnologies.in/product/hvs-3339-iot-based-real-time-air-quality-monitoring-and-prediction-system-using-random-forest-and-decision-tree-algorithms/#respond Wed, 23 Jul 2025 13:23:25 +0000 https://www.hvstechnologies.in/?post_type=product&p=910 The project aims at designing real time environment monitoring and prediction system. So, an Internet Of Things and algorithms based monitoring system is being proposed here, using Raspberry pi microcontroller based embedded system, where each sensor gives different parameters which are used to monitor the condition of environment using two different algorithm and finally able to say which algorithm gives us more accurate result between them.

 

Urbanization promises a very high standard of life at the expense of deterioration in the environment and air quality. The extensive use of fossil-fuel-powered cars and machines everywhere releases a massive amount of harmful gases and particulate matter into our air. Air is a crucial component of life on Earth for every being: a plant, an animal, or a human alike. Air pollution undermines the wellbeing and development of those living creatures directly. Lately, because of that rapid urbanization, air quality is declining quickly.

 

Initially, the sensors DHT11, MQ-7 and MQ-135 are used to get humidity, temperature, C02 and air quality values. DHT 11 is interfaced to raspberry pi directly as it gives digital values which could be read by Raspberry Pi 3. MQ7 and MQ135 are interfaced to a nano board which converts analog values to digital values and then to serial values which could be read by raspberry pi. Raspberry Pi 3 processes the data and then displays that data on to the ThingSpeak using wifi module ESP8266. The same is displayed on LCD. There are also 2 switches to select which algorithm we prefer between Random Forest and Decision Tree algorithms.

 

 

 

The features of the project are:

 

  1. Development of air quality monitoring system
  2. Implementation of Random Forest and decision tree algorithm.
  3. Using IOT technology.
  4. Using Raspberry pi to achieve this task.

 

 

 

The Major building blocks of this project are:

 

  1. Regulated Power Supply.
  2. Raspberry Pi 3
  3. DHT11 Sensor
  4. MQ-7 Sensor
  5. LCD display
  6. MQ-135 Sensor
  7. ESP 8266
  8. Nano Board

 

Software’s used:

 

  1. Embedded Linux programming.
  2. Express SCH for Circuit design.

 

Regulated Power Supply:

 

 

 

 

 

 

 

 

 

 

 

 

 

Block Diagram:

 

video:

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