Question

6.Write a report on AI based Social distancing monitoring using drone with out human interaction report should contain drone design it specification it's algorithm control system algorithm.minimum 10 A4 size page.No plagiarism is allowed other wise down rate is given
Don't copy from old Chegg answers

Answer 1

Title Page:

Certificate:

1. Drone based surveillance

A Drone or Quadcopter is a Vehicles have large potential for performing tasks that are dangerous or very costly for humans. Examples are the inspection of high structures, humanitarian purposes or search-and-rescue missions. One specific type of Drone is becoming increasingly more popular lately: the quadcopter.

When visiting large events or parties, professional quadcopters can be seen that are used to capture video for promotional or surveillance purposes. Recreational use is increasing as well: for less than 50 Euros a small remote-controlled quadcopter can be bought to fly around in your living room or garden. In these situations, the quadcopter is usually in free flight. There is no physical contact between the surroundings and the quad copter and no cooperation between the quadcopters If would have the capabilities to collaborate the number of possibilities grows even further. For example, a group of Drone would be able to efficiently and autonomously search a missing person in a large area by sharing data between. Or, the combined load capacity of a group of quad copters can be used to deliver medicine in remote areas.

This report focuses on the use of a commercially available quadcopter platform, the Drone, to perform a task that requires to inspect the people over an area which are following the social distancing norm which is distance between two individuals should be greater than 1m.

As preliminary step towards the view of collaborating aerial robots the choice was made to perform this task in an indoor scenario where position feedback is present. Starting off with position control, additional controller logic can be implemented to counteract the forces imposed by a mass connected to the quadcopter. The choice is made for the Drone, a generalized approach is chosen where possible to encourage reuse of this research’s outcome and deliverables. A helicopter is a flying vehicle which uses rapidly spinning rotors to push air downwards, thus creating a thrust force keeping the helicopter aloft. Conventional helicopters have two rotors. These can be arranged as two coplanar rotors both providing upwards thrust but spinning in opposite directions (in order to balance the torques exerted upon the body of the helicopter).

Figure 1 Image of Drone Designed by Us

1. MECHANICAL DESIGN:

3 cell 1,000 mAH LiPo rechargeable battery; High pitch propeller for great manoeuvrability; 4 brushless in runner motors with micro ball bearing and rare earth magnets, 14.5 watt & 28,500 rpm when hovering; Self-lubricating bronze bearings, tempered steel prop shafts; Low noise Nylatron gears for 8.625 propeller shafts; Emergency stop controlled by software; Fully reprogrammable motor controller; Water resistant electronic motor controller ; Foam to isolate the inertial centre from the engine’s vibrations; EPP hull; Carbon fibre tubes, 380g with outdoor hull, 420g with indoor hull; High grade 30% fibre charged nylon plastic parts;

1. Material Selection:

Sr.no	Part	Material
1	Frame	CFRP
2	Motors x4	Aluminum Alloy
3	Flight control board	Ceramic
4	Propellers	CFRP
5	Gear	Nylon
6	Battery	Li-ion

2. Computer Programming:

We have programmed the drone on python, Object recognition is a general term to describe a collection of related computer vision tasks that involve identifying objects in digital photographs.

Image classification involves predicting the class of one object in an image. Object localization refers to identifying the location of one or more objects in an image and drawing abounding box around their extent. Object detection combines these two tasks and localizes and classifies one or more objects in an image.

Figure 2 GUI of our algorithm

3. Features of Drone:

HIGH BATEERY LIFE AND FLIGHT TIME

2 KM 1080P VIDEO RECORDING

MAXIMUM SPEED OF 50 KMPH

SMART RETURN TO CHARGING DOCK

LIVE VIDEO FEEDING TO CONTROL ROOM

HIGH CONNECTIVITY AND GPS POSITIONING

EASY TO USE APPLICATION

FOCUS TRACK AND WIDE ANGLE

LOUD BUZZER DUAL SPEAKER

DIRECT NOTIFICATION TO INDIVIDUALS VIA IMAGE PROCESSING

SMART OBSTACLE AVOIDANCE

AUTO CHANNEL SWITCH

Figure 3 Drone

4. Technical Specification of Drone

SENSORS INSIDE SYSTEM

ACCELEROMETER

ULTRASONIC

ALTIMETER

BAROMETER

GYROSCOPE

THERMAL

ELECTRICAL SPECIFICATION

Microcontroller: - Raspberry Pi 3B

GSM board: - 4g LTE

Battery: - LI Ion 12v 5 AH

ELECTRONIC SPEED CONTROL MODULE(Driver)

CAMERA SPECIFICATION (1/2.3" CMOS Huddly)

2x OPTICAL ZOOM

2 km 1080p VIDEO TRANSMISSION

Pixels: 12 MP

Burst Shooting (Resolution FHD)

1. Algorithm

Figure 4 Flow chart of algorithm 1

1. Image analyzation algorithm

Figure 5 Image analyzation algorithm

• 2. Human detection
• Human detection is perform using the “ Arduino Object Detection Tracking”.
• Arduino object Detection Tracking is useful for the detection of the human.