Robotics Projects using Arduino

ROBOTICS 2014

1.Visual detection of objects in a robotic work area using hand gestures.

2. Hazardous Gas Detecting Method Applied in Coal Mine Detection Robot.

3. An Artificial Landmark Design Based on Mobile Robot Localization and Navigation.

4. A Design of Wireless Intelligent Control System for Service Robots.

5. Line following autonomous car.

6. Development of an Intelligent Guide-Stick for the Blind

7. Accelerometer Controlled R/C Vehicle.

8. Safety-sensor vehicle for a remote controlled vehicle.

9. Design and implementation of low cost intelligent wheelchair.

10. An embedded vision system for robotic fish navigation.

11. Design of embedded design detection and recognition for intelligent vehicle.

12. A Color-Based Target Localization Method and Its Implementation on Embedded Auto-Mobile Robot System.

13. A Low Cost Microcontroller Implementation of Neural Network Based Hurdle Avoidance Controller for a Car.

14. Design and Development Of Human Tracking Robot.

15. Development of robotic sewerage blockage detector controlled by embedded systems.

8051 Projects Free

Free Construction Projects

1. Car Security System With Remote Control

2. A Tutorial On 89C51Development Kit

3. PC Based Programmer For The AT89C51 Microcontroller 

4. DTMF Remote Control System

5. Programmable Logic Controller 

6. Automated Car Parking System

7. Simple 32-Bit Relay Card For PC's Parallel Port

8. Temperature Measurement using Transistor As Sensor

9. Digital Clock With Seconds And Alarm Time Display

10. Programmable Light Effects Generator

11. Door-Opening Alarm With Remote Control

Electronics Projects free 2014

MINI PROJECTS 2014

1. Intelligent Water Pump Controller With Water-Level Display

2. Precison 1 Hz Clock

3. Blue Led Night Lamp With Back-UP

4. Infrared Proximity Detector

5. Computerised Universal Timer

6. Number Guessing Game

7. Water- Level Indicator

8. Ultra- Bright Led Lamp

9. Garage Light And Security Control

10. PWM-Based Speed Control For DC Motors

11. Led Sand-Glass Timer

12. Three Colour Display Using Bicolour Leds

13. Versatile Emergency Light Using Fluorescent Tubes

14. Electonic Security System

15. Clap-Based Switching For Devices

16. Lead-Acid Battery Charger With Voltage Analyser

17. Keypad Control For Multiple Appliances

18. Wireless TV Headphone Circuit

19. Automatic Water Pump Motor Controller

20. Electric Shock Gun

21. Anti-Theft Alarm For Vehicles

Embedded Projects 2014

ARM 7 TDMI Controller

1.Interfacing of graphical LCD to LPC2148 ARM Based 32-bit microcontroller
2. H-Bridge based DC Motor speed & Direction control using PWM using ARM 7 TDMI processor based LPC2148 Controller
3. Advanced mobile phone signal jammer for GSM, CDMA and 3G networks with prescheduled time duration using ARM 7 TDMI processor based LPC2148 Controller
4. Petrochemical Level Indicator and controller for automation of Cotton Purification industries using ARM 7 TDMI processor based LPC2148 Controller
5. Implementing character LCD Device Driver development on LPC2148 ARM Based 32-bit microcontroller
6. Biometric finger print based bank locker system using ARM 7 TDMI processor based LPC2148 Controller
7. Implementation of Data Encryption Standard on ARM(ARM7TDMI) processor based microcontroller(LPC2148)
8. Implementation of ZigBee based multipoint secured PC messaging system ARM 7 TDMI processor based LPC2148 Controller
9. GSM based automatic vehicle accident detection with GPS based location identification and messaging system using ARM 7 TDMI processor based LPC2148 Controller

Electronics Projects 2014

Embedded System Projects

1. Access Control System

2. PIC16F84-Based Coded Device Switching System

3. Secured Room Access System

4. RFID-Based Security System

5. Secure Digital Access System using iButton

6. A Remote Controlled 6-Camera CCTV Switcher

7. PIC Microcontroller-Based Electronic Lock

8. Water-Level Controller-Cum-Motor Protector

9. Remotely Programmable RTC-lnterfaced Microcontroller for Multiple Device

10. Remote-Controlled Digital Audio Processor

11. Solar Charger for Dusk-to-Dawn use

12. Automatic Flush System

13. MSP430G2231-Based Temperature Indicator and Controller

14. Sun Tracker With Position Display

15. Presence Sensing Lights Controller

16. Touchscreen Control for Wheelchair

17. RF-Based Multiple Device Control Using Microcontroller

18. GSM-Based Borewell Water Level Monitor

Optimized Quantizer with Matlab Program

PDF Optimized Quantizer:

In the case of uniform quantizers, the pdf of the analog sample was assumed to beuniform, and therefore, we obtained the closed form solutions for optimal decision regions and output levels. Moreover, the intervals between any two consecutive decision regions as well as the intervals between any two consecutive output levels were constant. When the pdf of the input analog samples is not uniform, then the quantization steps are not constant and the optimal solutions are obtained by solving the transcendental equations (2.31). This results in a nonuniformquantizer and is referred to as pdf optimized quantizer.

Using Lloyd’s algorithm, we design the quantizers for 3 and 5 bpp. The requantized images at 3 and 5 bpp are shown in Figures 1.a,b, respectively. There are some improvements in the flat areas compared with that of the corresponding uniform quantizer. The SNR values are 20.1 and 33.68 dB for 3 and 5 bpp, respectively, for the nonuniformquantizer, whereas they are 17.3 and 29.04 dB, respectively, for the uniform quantizer. Figure 1.c shows a plot of the decision regions versus output levels of the nonuniformquantizer for

Uniform Quantizer with Matlab Program

Uniform Quantizer

When the pdf of the analog sample is uniform, the decision intervals and output levels of the Lloyd–Max quantizer can be computed analytically as shown below.In this case, the decision intervals are all equal as well as the intervals between the output levels and the quantizer is called a uniform quantizer.

We will use the Barbara image for this example. Since this image is rather large in size, we will crop it to a smaller size. Figure 1.a is the cropped original 8-bpp image, and Figures 1.b,c correspond to the requantized images at 3 and 5 bpp, respectively. We see that flat areas appear very patchy especially in the 3-bpp imageas compared with the 5-bpp image. Because of the large quantization step size, a large neighborhood of pixels gets quantized to the same level and this makes the image look patchy in the flat areas.