The researchers designed a device called Project ECO to help address the problem of deforestation. Project ECO uses a wireless camera and enhanced sensor detection system including vibration, smoke, flex, and temperature sensors to remotely monitor and detect illegal activities in forests like logging and farming. The device was constructed using an Arduino board connected to the various sensors and a Bluetooth module. It was programmed using Arduino software and tested for its effectiveness in protecting forests and biodiversity from human activities that cause deforestation.

1. PROJECT ECO
Environmental Forestry Protection
by Utilizing Wireless Camera and
Sensor Detection as Outlook-
Monitoring System
CATHLEEN JEAN ESTEBAN
JESSA MAE SIARES
FRANCES VINCENT DECENA

2. PROBLEM
• The seed of deforestation has begun to sprout and take shape—
morphing into a global catastrophe that continues to plague the
world for years and further on. From climate change, soil erosion,
and desertification, to flooding and lesser yields, deforestation has
been the root of all that and more.

3. The researchers orchestrated a device that can accurately detect illicit
activities that target our forestry—for instance, illegal logging and
kaingin—which are ground zeroes of deforestation. The researchers
used a wireless camera and an enhanced sensor-detection system to
monitor events in the forest. This study, entitled “Project ECO:
Environmental Forestry Protection By Utilizing Wireless Camera And
Sensor Detection As Outlook-Monitoring System,” was conceptualized
to become a temporary antidote to the prevailing environmental
disease that is deforestation.

4. STATEMENT OF THE PROBLEM
GENERAL
This study aimed to bring humanity in the light of deforestation by
engineering a device that can monitor illicit activities in the forest. Its
system of sensor-detection and wireless camera will guarantee to
protecting the countless ecosystems and biodiversity that thrive in
forests, to preserving the forests’ neat structure, and to controlling
human recklessness that, for long years, have mutilated and disfigured
our forests.

5. SPECIFIC:
1. What are the designs of Project ECO along:
a.) Software b.) Hardware
2. How effective is the device’s use of senor detection and wireless
camera in terms of functionality, structure and design, and safety
measures?
3. Is there a significant difference among the various sensors used—
smoke sensor, temperature sensor, flex sensors, and vibration
sensors—in terms of the device’s stability?

6. SIGNIFICANCE OF THE STUDY
This study contributes to the following:
• Environment
• Community
• Government
• Future Researchers

7. CONCEPTUAL FRAMEWORK
INPUT PROCESS OUTPUT
• Arduino and
Bluetooth
technology
• Scrap materials
• Wireless
camera
• Vibration,
smoke, flex
and
temperature
sensors
• Gathering of
materials
• Device and
circuit
construction
• Programming
code in
Arduino
Software
• Testing the
device
• Effectiveness
of Arduino
and Bluetooth
technology
• Effectiveness
of Project ECO
in detecting
illegal human
activities in the
forest

8. METHODOLOGY
RESEARCH DESIGN
A quantitative research design in the form of an experimental design was
used in this study in order to assess the device’s effectiveness. It was used to
shed more data in controlling deforestation, to test the accuracy of Project
ECO, and to examine whether the system has met the criteria. The conductors
used tables, graphs to gather intel of the performance of the Temperature,
Flex, Smoke and Vibration sensors. To write the conclusion, the gathered data
from it was used.

9. METHODOLOGY
COMPONENTS AND MATERIALS

10. PROCEDURE
MAKING THE FRAMEWORKS

11. PROCEDURE
MAKING THE DEVICE

12. MAKING THE CIRCUIT OF THE DEVICE
STEP 1: Connecting the Bluetooth
Module to the Arduino Board
STEP 2: Connecting Temperature
Sensor to the Arduino Board
STEP 3:
Connecting Flex
Sensor to the
Arduino Board

13. STEP 5: Connecting Smoke Sensor
to the Arduino Board
STEP 4: Connecting Vibration
Sensor to the Arduino Board

14. PROGRAMMING THE CODES IN THE SOFTWARE

15. RESEARCH INSTRUMENTS
The data was collected using a scale and checklist to assess the
device’s effectiveness in terms of functionality, structure and design,
and system safety measures. The researchers used T-test and
ANOVA to test the effectiveness of Project ECO through the use of
Sensor Detection and Wireless Camera in terms of efficiency.

16. FLOWCHART
FLOWCHART ON
HOW THE
DEVICE WORK

17. PROJECT ECO
Environmental Forestry
Protection By Utilizing Wireless
Camera And Sensor Detection As
Outlook-Monitoring System
PILI NATIONAL HIGH SCHOOL
PAWILI, LAPAZ, CAMARINES SUR
NAME OF THE RESEARCHERS:
CATHLEEN JEAN ESTEBAN
JESSA MAE SIARES
FRANCES VINCENT DECENA

18. THANK YOU FOR
LISTENING!