This document describes a drone surveillance system that uses a DJI F450 quadcopter frame equipped with an Ardupilot flight controller board, cameras, and other electronics. The system allows for remotely monitoring an area using the on-board camera while also having capabilities like signal jamming. A Raspberry Pi companion computer provides autonomous flight capabilities and potential for computer vision tasks using TensorFlow Lite. The drone was assembled and initial test flights were performed to demonstrate its surveillance and monitoring functions.

1. BY
AJISHMA L
VIJAYAN
ANANTHU A S
HITESH A H
ASHOK BABU
Guided by: Minnu C JAYAN
SURVEILLANCE
DRONE
Asst. Prof, Dept of ECE

2. ABSTRACT
In this project we aim to consider the need of
electronics in modern warfare using integrated
usage of mobile robot (unmanned aerial vehicle)
and surveillance circuits. Drone Surveillance
enables surreptitiously gathering information about
a target as captured from a distance or altitude. We
propose to demonstrate a modular method to equip
an UAV with surveillance camera and other signal
jamming and tuning circuits used to gain
intelligence against enemy targets in harsh or
hostile environment. Applications include in law
enforcement, private investigation, search and
rescue, and Lidar surveys. The proposed vehicle is

3. DJI F450 Quadcopter frame Kit
Ardupilot APM 2.8 Flight Control Board
APM Power Module with XT60
1000KV Brushless Motor
SimonK 30A 2-3S Brushless ESC
1045 Propeller 10in 10x4.5
FlySky FS-i6 2.4G 6CH AFHDS Transmitter
With FS-iA6B Receiver for RC FPV Drone
Power LiPo Battery 11.1V 5400MAH
GPS Module Ublox NEO-7M for APM
Raspberry Pi 3 Model B+
5MP Raspberry Pi 3 Model B Camera Module
Components:

4. Ardupilot APM 2.8 Flight Controller
Open-source
autopilot system
for multicopters
• High precision acrobatic mode:
perform agressive maneuvers
• Auto-level and Altitude Hold modes
• Autonomous missions
• Flexible and customizable
• Failsafe

5. • KV: 1000
• No load Current : 10 V : 0.5 A.
• Current Capacity: 12A/60s
• No Load Current @ 10V: 0.5A
• Thrust @ 3S with 1045 propeller:
800gms approx
Brushless
DC Motor
Electronic
Speed Control
• Power: 7.4 to 14.8V (RED)
Ground (Black)
• Current Consumption: up to 30A
• Offer Battery Eliminator
Circuit(BEC) providing 5V & 2A to
receiver
• Servo Connectors: White (Throttle
Input), Red (5V, 2Amp Out),

6. Radio Transmitter
FlySky FS-i6 2.4G 6CH AFHDS
TX/RXr
• Channels: 6 Channels
• RF Range: 2.40-2.48GHz
• Bandwidth: 500KHz
• Band: 142
• RF Power: Less Than 20dBm
• 2.4ghz System: AFHDS 2A and
AFHDS
• Output: PPM
• Power: 6V (1.5AAx4)
Receiver
• Transmitting Power: not more
than 20dBm
• Receiver Sensitivity:-105dBm
• Encoding: GFSK
• Input Power : 4.0-6 .5 V DC

7. Other Hardware's
Propeller
• Diameter: 10in
• Pitch: 4.5in
• Propeller diameter:
25.4cm
• Weight: about
14g/pair
• 2 x CW Propeller
• 2 x CCW Propeller
Power Module
• Providing APM 2.5 with clean
power from a LiPo battery
• On-board switching regulator
outputs 5.3V and a maximum of
2.25A from 2S-6S LiPo battery
• measurement configured for 5V
ADC
• Operating Voltage(VDC): 6 to 28
• Max input voltage(VDC): 28
• Max current sensing(A): 90
GPS
• High sensitivity, low
power GPS module with
56 channels
• Outputs precise position
updates at 10Hz
• Rate:115200bps
• Pre-configured, compass
on board
More H/W Next slide…

8. DRONE FRAME
TV
• Built from quality
glass fiber and
polyamide nylon.
• Integrated PCB
connections for
direct soldering
• Weight: 270g
(w/out
electronics)

9. is a ground control station for Plane,
Copter and Rover. It is compatible
with Windows only. Mission Planner
can be used as a configuration utility
or as a dynamic control supplement
for any autonomous vehicle.
 Load the firmware
 Setup, configure, and tune
 Plan, save and load autonomous
missions
 Monitor the vehicle’s status:
telemetry logs, FPVs, faults
Mission
Planner
Software

10. A UAV ground station software package for
MAVLink based systems, It is a command-
line, console based appIt’s portable; it
should run on any POSIX OS with python,Can
be networked and run over any number of
computers.
MAVProxy

11. Companion Computer: Raspberry Pi 3 B+
64-bit quad core processor running at
1.4GHz, dual-band 2.4GHz and 5GHz
wireless LAN, Bluetooth 4.2/BLE, faster
Ethernet, and PoE capability via a
separate PoE HAT The dual-band
wireless LAN.
 Processor: Broadcom BCM2837B0,
Cortex-A53 64-bit SoC @ 1.4GHz
 Memory: 1GB LPDDR2 SDRAM
 Connectivity: 2.4GHz and 5GHz IEEE
802.11.b/g/n/ac wireless, LAN,
Bluetooth 4.2, BLE, Gigabit Ethernet
over USB 2.0 (maximum throughput
300Mbps),4 × USB 2.0 ports
 Access: 40 Extended GPIO Header Pin
 Input Power: 5V/2.5A DC

12. WIRING DIAGRAM

13. 13Drone Project 2020 P A G E
PHASE
TEST FLIGHT OF DRONE
STEP 1
SOLDERING
STEP 3
FIXING BLDC MOTORS
STEP 4
CONFIGURING TEST FLIGHT
PHASES
STEP 2
MOUNTING ARMS

14. PHASE 1
 SOLDERING ESC’s to the power
distribution board .
 Attaching frame to the soldered
PDB.

15. Configuring with Ardupilot:
Date: 03/03/2020

16. TEST FLIGHT
Date: 03/03/2020

17. 17P A G E
Motor 1
Motor 4
Motor 3
CW,
Motor 2
DRONE
Drone Project 2020
CW,
CCW,
CW,
Raspberry Pi 3 B+
APM 2.8
ESC ESC
ESC ESC
Communications:
Serial
Radio

18. Rx
Tx
GND
Serial Communications:
Connection can be done
with the APM 2.6 by using
the open Telemetry Port to
Raspberry Pi pin.
GND-GND
RX-GPIO14
TX-GPIO15
18P A G EDrone Project 2020

19. 19P A G E
Features:
Ground Station Connectivity through
Internet (SSH-Intranet) Possible using
ESP Boards.
01
02
03
04
05
06
Drone Project 2020
Companion Computer provide scope for
autonomous mission and threat
classification.
Advance Image Classifier platform such
as Tensor Flow Lite within Raspi setup
enables using advance algorithms.
APM Board provide stable operation of
aerial vehicle, advanced board can be
replaced with current without delay/effort.
Return to home, Failsafe and auto/manual
disarming of multipcopter are addon
features.
Firmware & Software updating can be
done with simple command line
interfaces.

20. 20P A G E
Surveillance
Raspberry Pi
Camera
provides person,
object or
environment
identification
APM inbuild
Compass and
Attached GPS
Module provide
accurate
position .
External Analog
Signal Jamming
Circuit
Your Title
VISUALS LOCATION SIGNAL
Your Title
Drone Project 2020

21. Raspberry
Ardupilot
Overview
Opensource Platform
Both Raspberry and Ardupilot are Opensource
Hardware Firmware-Software community
Computer Vision
Google’s TensorFlow lite provide integrated
computer vision along with machine learning
models compactable mobile or IoT Devices.
Costly Components
Each SoC used in this project are expensive
compared to allied analog devices in the open
electronics market.
21P A G EDrone Project 2020
Tensor Flow
Lite

22. THANK
YOU.