Question

4.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 answer

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

1. 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.

1. 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

1. 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. Smart Battery Charging Station: -

As drone has very less flight time it is very essential to charge it, but when we talk about surveillance system it should be autonomous for safety and reducing fatigue, to avoid it we programmed a smart battery charging algorithm which enables the drone to fly to its nearest charging station setup for charging, where there will be a subsidiary drone for its place in network. It will be a wireless pad which will charge the drone in 25 mins for 30 min of flight time.

2. Dynamo in drone: -

With increase in technology of battery-operated vehicle we found a small dynamo but of high capacity, the rpm of propeller will be 22000 and if we rotate dynamo at such a high speed it would generate decent amount of electricity. We have placed dynamo by nylon gear arrangement with propeller for increasing flight time.

Figure 6 Wireless Charging Pad

Figure 7 Dynamo with propeller

1. 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.