Question

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

Answer 1

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.

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. 5. Strategies for implementation of social distance between two individuals: -
      1. STRATEGY NO: - 1
1. Recording will be live feed to dedicated police station.
2. In case of severe mass gathering buzzers and notifications will be given to police for acting.
3. Through Face recognition direct penalty can be charged also notifications can be given through mobile.
4. Shop owners can be warned and can be charged by local police.
5. In traffic vehicle number can be tracked for fining or informing.
6. Incase of emergency location and photos will be sended to local police station.

2. STRATEGY NO:- 2

For Industry and college)

(Unique Identity Code)

1. Industry generally have high ceiling which is enough for drone flight and refineries have open roof, college campus monitoring.
2. In this industry live feed will be directed to security office and employee will be directly penalized or informed through its employee code on its cloth
3. Compulsory mask and no spitting can be easily monitored in all areas.
4. Employee for maintain social distance should be rewarded.

1. 3. STRATEGY NO:- 3
1. It should constantly buzzer and should motivate people for maintaining social distance, without charging any penalty and live video feeding.
2. It should identify people with fever symptoms through temperature sensing and also people spitting at any corner.
3. It should bring awareness by playing audios in public market for social distance.
4. It should be capturing images at time of night curfew.

6. Algorithm

Figure 4 Flow chart of algorithm 1

1. Image analyzation algorithm

Figure 5 Image analyzation algorithm

1. Human detection

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