OBJECT DETECTION USING TENSORFLOW ON RASPBERRY PI
📄 Project Abstract
The coronavirus disease 19 (Covid 19) pandemic caused by acute respiratory syndrome (SARS-CoV2) has infected over 6 million people and killed over 379,941 people worldwide. According to the world health organisation (WHO), the key to reduce the spread of the coronavirus disease is to maintain social distancing and for individuals to wear face mask in public places, because wearing of face mask is an essential measure which keeps individuals safe when venturing into the public. In order to make wearing of face mask efficient; it become important by developing a device that can accurately detect and monitor whether an individual is wearing a face mask or not to help curtail the spread of the disease. In this project work, face mask detection was implemented on a Raspberry Pi 4 with a Pi camera using Tensor Flow, OpenCV and Imutils which are machine learning packages. Tensor Flow was used to train the face mask detection model with an extensive dataset containing 1,000 images of different...
🔍 Key Research Areas Covered
- ✅ Literature Review & Theoretical Framework
- ✅ Research Methodology & Data Collection
- ✅ Data Analysis & Statistical Methods
- ✅ Findings & Results Discussion
- ✅ Recommendations & Conclusions
- ✅ References & Bibliography
📚 Complete Project Structure
- Problem Statement & Objectives
- Theoretical Framework & Related Studies
- Data Collection & Analysis Methods
- Findings & Statistical Analysis
- Recommendations & Future Research
- Questionnaires, Data, References
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OBJECT DETECTION USING TENSORFLOW ON RASPBERRY PI
Full Citation:
HAIDAR ADAMU SIDI. (). OBJECT DETECTION USING TENSORFLOW ON RASPBERRY PI. African and General Studies, 40, 14858.
Citation Formats:
APA
HAIDAR ADAMU SIDI. (). OBJECT DETECTION USING TENSORFLOW ON RASPBERRY PI. African and General Studies, 40, 14858.
MLA
HAIDAR ADAMU SIDI. "OBJECT DETECTION USING TENSORFLOW ON RASPBERRY PI." African and General Studies, vol. 40, , pp. 14858.
Chicago
HAIDAR ADAMU SIDI. "OBJECT DETECTION USING TENSORFLOW ON RASPBERRY PI." African and General Studies 40 (): 14858.
Full Citation:
HAIDAR ADAMU SIDI. (). OBJECT DETECTION USING TENSORFLOW ON RASPBERRY PI. African and General Studies, 40, 14858.
Citation Formats:
APA
HAIDAR ADAMU SIDI. (). OBJECT DETECTION USING TENSORFLOW ON RASPBERRY PI. African and General Studies, 40, 14858.
MLA
HAIDAR ADAMU SIDI. "OBJECT DETECTION USING TENSORFLOW ON RASPBERRY PI." African and General Studies, vol. 40, , pp. 14858.
Chicago
HAIDAR ADAMU SIDI. "OBJECT DETECTION USING TENSORFLOW ON RASPBERRY PI." African and General Studies 40 (): 14858.
Document Details
| Author | HAIDAR ADAMU SIDI |
|---|---|
| 📁 Field | Electrical And Computer Engineering Project Topics |
| 🏷️ Type | Engineering and Technology project topics |
| Pages | 75 Pages |
| Words | 12502 words |
| 📘 Chapters | 1 to 5 Chapters |