The document outlines a presentation on computer vision applications, emphasizing its role in fields like agriculture, manufacturing, and healthcare. It discusses how computer vision can assist farmers with crop monitoring and weed management, as well as its use in medical imaging for disease detection. Additionally, it highlights future trends in computer vision, such as enhancing retail experiences and predictive maintenance.

1. TOPIC : COMPUTER VISION
APPLICATION
Welcome To Our Presentation

2. Our Team Members
MD: Olidur
Rahman
ID: 232-15-564
Touhidul Islam
ID: 232-15-487
TANVIR AL
MUNTAKIM
ID: 232-15-673
Argho Kumar Saha
ID: 232-15-570 ID: 232-15-155
Md. Fahed
Hasann

3. Now Presenting
Touhidul Islam
Id: 232-15-487

4. Computer vision is a field of artificial
intelligence (AI) that uses machine learning
and neural networks to teach computers and
systems to derive meaningful information from
digital images, videos and other visual
inputs—and to make recommendations or take
actions when they see defects or issues.

5. • MEDICAL ANOMALY
DETECTION.
• MANUFACTURING FAULT
DETECTION.
Computer Vision Applications
Self-driving cars

6. Now Presenting
Argho Kumar Saha
Id: 232-15-570

7. Computer vision is like giving farmers a smart set of eyes
to see and understand what's happening on their farms.
It helps monitor crops, spot pests and diseases early, and
even pick ripe produce efficiently. For example, drones
equipped with computer vision can scan fields to assess
crop health, while AI-powered apps can identify pests
and diseases from images, allowing farmers to take
timely action and reduce crop losses.

8. Weed control is a major concern for farmers worldwide.
Computer vision technology enables the development of
smart weed management systems that can distinguish
between crops and weeds with remarkable accuracy. If
farmers only spray weed killer where the weeds are, they
can use less chemicals and keep the environment safe
while they already still growing good crops.

9. Now Presenting
Md. Fahed Hasan
Id: 232-15-155

10. In the manufacturing industry, the
demand for automation is at its peak.
Many tasks have already been
automated, and other new technology
innovations are in trend. For providing
these automatic solutions, Computer
vision is also widely used

11. I
ANALYZING TEXT AND BARCODES
(OCR)
FINGERPRINT RECOGNITION AND
BIOMETRICS
Defect Detection

12. Now Presenting
Md. Olidur Rahman
Id: 232-15-564

15. Medical Imaging Analysis:
Detect diseases like cancer, heart disease, and lung disease.
Improve accuracy and speed of diagnoses.
Reduce workload for radiologists.
Surgical Assistance:
Guide surgeons during minimally invasive procedures.
Track surgical instruments.
Helps to reduce complications.

16. SOME EXAMPLES :
Brain Hemorrhage
Detection
Tumour
Recognition
Lung perfusion
Analysis

18. TANVIR AL MUNTAKIM
ID :232-25-673

19. How Does Computer Vision Work?
The computer vision process typically involves
these steps:
• Image acquisition
• Image
preprocessing
• Feature extraction
• Classification
• Interpretation

20. The Future of Computer Vision
• Tailor retail experiences
• Enhance healthcare
• Revolutionize education
• Advanced video
surveillance
• Predictive maintenance

21. THANK
YOU