WALL.E detects plastic , provide Data , and we take an action
PLASTIC MAP
WALL.E
Plastic Map
Our Team
PROBLEM AND
OPPORTUNITY
Marine debris is one of the biggest threats to the health of marine life which affect marine creatures, habitats and navigational safety cause economic loss to fishing and maritime industries and threaten human health and safety
After reducing marine debris at beaches fish wealth will increase and our project Increases awareness of people to understand the danger of plastic marine
marine creatures will not be killed or injured
not degrade the quality of life in coastal communities
scientists able to detect plastics utilizing remote sensing data and policy makers to use this information to effectuate change.
We, in WALL.E team, create a great approach to solve the challenge we have already chosen. As we learned from the detail of the challenge, we will use AI and ML algorithms to provide a method for marine debris detecting, tracking, quantifying, and classifying. After collecting that data from different sources, we will discuss later in this slide, we will visualize that data using a responsive map. Firstly, our project consists of three main phases:
OUR
APPROACH
Data collection
Mapping and
visualization
End user
experience
1
2
3
TECHNOLOGIES
USED
Simultaneous localization and mapping is a method used for autonomous vehicles that lets us build a map and localize your vehicle in that map at the same time. SLAM algorithms allow the vehicle to map out unknown environments and path planning and obstacle avoidance.

SLAM SYSTEM
OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception.

COMPUTER VISION,  OPENCV
Lidar: is a method for determining ranges (variable distance) by targeting an object with a laser and measuring the time for the reflected light to return to the receiver.
IR: sensor that detect the weight of organic materials.

SENSORS
WALL.E 2021

MEET OUR
TEAM

KARIMAN
Faculty Of Science
SARAH
Faculty Of Science
IBRAHEM
Mechanic Engineering
MOHAMED
Mechatronics Engineering
SHIMAA
Faculty Of Science
AHMED
Computer
engineering
WALL.E detects plastic , provide Data , and we take an action
PLASTIC MAP
WALL.E
Plastic Map
Our Team
PROBLEM AND
OPPORTUNITY
Marine debris is one of the biggest threats to the health of marine life which affect marine creatures, habitats and navigational safety cause economic loss to fishing and maritime industries and threaten human health and safety
After reducing marine debris at beaches fish wealth will increase and our project Increases awareness of people to understand the danger of plastic marine
marine creatures will not be killed or injured
not degrade the quality of life in coastal communities
scientists able to detect plastics utilizing remote sensing data and policy makers to use this information to effectuate change.
We, in WALL.E team, create a great approach to solve the challenge we have already chosen. As we learned from the detail of the challenge, we will use AI and ML algorithms to provide a method for marine debris detecting, tracking, quantifying, and classifying. After collecting that data from different sources, we will discuss later in this slide, we will visualize that data using a responsive map. Firstly, our project consists of three main phases:
OUR
APPROACH
Data collection
Mapping and
visualization
End user
experience
1
2
3
TECHNOLOGIES
USED
Simultaneous localization and mapping is a method used for autonomous vehicles that lets us build a map and localize your vehicle in that map at the same time. SLAM algorithms allow the vehicle to map out unknown environments and path planning and obstacle avoidance.

SLAM SYSTEM
OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception.

COMPUTER VISION,  OPENCV
Lidar: is a method for determining ranges (variable distance) by targeting an object with a laser and measuring the time for the reflected light to return to the receiver.
IR: sensor that detect the weight of organic materials.

SENSORS
WALL.E 2021
MEET OUR
TEAM
KARIMAN
Faculty Of Science
SARAH
Faculty Of Science
IBRAHEM
Mechanic Engineering
MOHAMED
Mechatronics Engineering
SHIMAA
Faculty Of Science
AHMED
Computer
engineering
WALL.E detects plastic , provide Data , and we take an action
PLASTIC MAP
WALL.E
Plastic Map
Our Team
PROBLEM AND
OPPORTUNITY
Marine debris is one of the biggest threats to the health of marine life which affect marine creatures, habitats and navigational safety cause economic loss to fishing and maritime industries and threaten human health and safety
After reducing marine debris at beaches fish wealth will increase and our project Increases awareness of people to understand the danger of plastic marine
marine creatures will not be killed or injured
not degrade the quality of life in coastal communities
scientists able to detect plastics utilizing remote sensing data and policy makers to use this information to effectuate change.
We, in WALL.E team, create a great approach to solve the challenge we have already chosen. As we learned from the detail of the challenge, we will use AI and ML algorithms to provide a method for marine debris detecting, tracking, quantifying, and classifying. After collecting that data from different sources, we will discuss later in this slide, we will visualize that data using a responsive map. Firstly, our project consists of three main phases:
OUR
APPROACH
Data collection
Mapping and
visualization
End user
experience
1
2
3
TECHNOLOGIES
USED
Simultaneous localization and mapping is a method used for autonomous vehicles that lets us build a map and localize your vehicle in that map at the same time. SLAM algorithms allow the vehicle to map out unknown environments and path planning and obstacle avoidance.

SLAM SYSTEM
OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception.

COMPUTER VISION,  OPENCV
Lidar: is a method for determining ranges (variable distance) by targeting an object with a laser and measuring the time for the reflected light to return to the receiver.
IR: sensor that detect the weight of organic materials.

SENSORS
WALL.E 2021
MEET OUR
TEAM
KARIMAN
SARAH
IBRAHEM
MOHAMED
SHIMAA
AHMED
Faculty Of Science
Faculty Of Science
Mechanic Engineering
Mechatronics Engineering
Faculty Of Science
Computer
engineering
WALL.E detects plastic , provide Data , and we take an action
PLASTIC MAP
WALL.E
PROBLEM AND
OPPORTUNITY
Marine debris is one of the biggest threats to the health of marine life which affect marine creatures, habitats and navigational safety cause economic loss to fishing and maritime industries and threaten human health and safety
marine creatures will not
be killed or injured
not degrade the quality of
life in coastal communities
scientists able to detect plastics utilizing remote sensing data and policy makers to use this information to effectuate change.
After reducing marine debris at beaches fish wealth will increase and our project Increases awareness of people to understand the danger of plastic marine
We, in WALL.E team, create a great approach to solve the challenge we have already chosen. As we learned from the detail of the challenge, we will use AI and ML algorithms to provide a method for marine debris detecting, tracking, quantifying, and classifying. After collecting that data from different sources, we will discuss later in this slide, we will visualize that data using a responsive map. Firstly, our project consists of three main phases:
OUR
APPROACH
Data collection
Mapping and visualization
End user experience
1
2
3
TECHNOLOGIES
USED
Simultaneous localization and mapping is a method used for autonomous vehicles that lets us build a map and localize your vehicle in that map at the same time. SLAM algorithms allow the vehicle to map out unknown environments and path planning and obstacle avoidance.

SLAM SYSTEM
OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception.

COMPUTER VISION
Lidar: is a method for determining ranges (variable distance) by targeting an object with a laser and measuring the time for the reflected light to return to the receiver.
IR: sensor that detect the weight of organic materials.

SENSORS
MEET OUR
TEAM
SHIMAA
Faculty Of Science
AHMED
Computer
engineering
IBRAHEM
Mechanic Engineering
MOHAMED
Mechatronics Engineering
KARIMAN
Faculty Of Science
SARAH
Faculty Of Science
WALL.E 2021