Arduino Object Radar

A Object Radar is a device that measures the

distance from the target to the observer, for the purposes of

surveying, determining focus in photography, or accurately aiming

a weapon. In this technical project, we make a simple radar using

the ultrasonic sensor, this radar works by measuring a range from

3cm to 40 cm as non-contact distance, with angle range between

15˚ and 165˚.The movement of the sensor is controlled by using a

small servo motor. Information received from the sensor will be

used by “Processing Development Environment” software to

illustrate the result on a PC screen.

Radar is an object detection

system that uses electromagnetic waves to

recognize the range, elevation, path, or speediness

of both moving and fixed objects such as aircraft,

ships, motor Vehicles, weather formations, and

terrain and when instead of electromagnetic waves,

we use Ultrasonic waves, it is called an ultrasonic

radar. In the moving object required a more no. of

data to tracking its actual setting such as location,

distance, speed. Technologies are used to tracking

system mainly comprise microcontroller 89c51,

ultrasonic module and microwave distance meter.

Distance detector is Device capable to measuring

the distance between transmitter and the receiver.

The techniques to measuring the distance between

using ultrasonic of an object include the pulse echo

method. In that technique burst pulse is send the 40

kHz Signal through transmission medium and is

reflected by an object kept at specific distance from

the ultrasonic module.the time interval between

echoes reflected from object to the module is

proportional to the distance of object. The main

drawback of the ultrasonic module is it is a short

range communication; it fails to measure the long

distance communication. It tracks the object with in

the several range of the module.

The main objective of this project is to secure

the transportation in fog using Robotics. As one of

the trends in the development of automation in

transportation and vehicles in 21st century, has

been researched and developed. Until now the

transportation of vehicles (Trains, Flights) was

totally dependent on weather. In highly foggy

weather it is too difficult to drive trains or board

flights due to low density because driver or pilot

will not be able to detect the object on the track due

to fog. So for increasing the accuracy level

microcontroller based automatic projectile system

is introduced. The basic idea of this automatic

projectile. Current system is capable to detect any

radiation in the range of track. The proposed

system is based on Ultrasonic sensor. The

ultrasonic sensor provides 2cm to 40cm of non

contact measurement functionality with a ranging

accuracy that can reach up to 3mm. Each ultrasonic

module includes a transmitter, a receiver and a

control circuit.

Radar is an object detection system that uses

electromagnetic waves to identify range, altitude,

direction, or speed of both moving and fixed

objects such as aircraft, ships, vehicles, weather

formations, and terrain. When we use ultrasonic

waves instead of electromagnetic waves, we call it

ultrasonic radar. The main components in any

Object radar are the ultrasonic Sensors. Ultrasonic

sensors work on a principle similar to radar or

sonar which evaluates attributes of a target by

interpreting the echoes from radio or sound waves

respectively. Radar’s information will appear in

different ways. Basic and old radar station uses

sound alarm or LED, modern radar uses LCD

display to show detailed information of the

targeted object.

We use Computer screen to show the

information (distance and angle). A method and

system for using one or more radar systems for

object detection based on machine learning in an

environment is disclosed.

A scanning radar or combination of radars

mounted on a vehicle or moving object scans the

environment to acquire information. The radar

data may be a 3D point cloud, 2D radar image or

3D radar image. The radar data may also be

combined with data from LIDAR, vision or both.

A machine learning algorithm is then applied to

the acquired data to detect dynamic or static

objects within the environment, and identify at

least one object feature comprising one of a type,

location, distance, orientation, size or speed of an

object.