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Project Code: TEMBMA3316
Project Title:Smart Building Energy Management System Using Machine Learning And IOTView DetailsProject Code: TEMBMA3287
Project Title:Scalable Edge Device Model for Early Wild Life Fire Detection SystemView DetailsProject Code: TEMBMA3280
Project Title:Home Security System for the Hearing Impaired Using MLView DetailsProject Code: TEMBMA3273
Project Title:Intelligent Access Control System for Granary Based on Face Recognition and Oxygen ConcentrationView DetailsProject Code: TEMBMA3270
Project Title:Virtual Fencing using Yolo Framework in Agriculture FieldView DetailsProject Code: TEMBMA3269
Project Title:A Smart Access Control for Restricted Buildings Using Vehicle Number Plates Recognition SystemView DetailsProject Code: TEMBMA3244
Project Title:ML based Surveillance System for Detection bike ride without Helmet & Triple rideView DetailsProject Code: TEMBMA2574
Project Title:Fire Detection and Prevention System Using Machine LearningView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TEMBMA3316 | Smart Building Energy Management System Using Machine Learning And IOT | |
| 2 | TEMBMA3287 | Scalable Edge Device Model for Early Wild Life Fire Detection System | |
| 3 | TEMBMA3280 | Home Security System for the Hearing Impaired Using ML | |
| 4 | TEMBMA3273 | Intelligent Access Control System for Granary Based on Face Recognitio... | |
| 5 | TEMBMA3270 | Virtual Fencing using Yolo Framework in Agriculture Field | |
| 6 | TEMBMA3269 | A Smart Access Control for Restricted Buildings Using Vehicle Number P... | |
| 7 | TEMBMA3244 | ML based Surveillance System for Detection bike ride without Helmet & ... | |
| 8 | TEMBMA2574 | Fire Detection and Prevention System Using Machine Learning |
Project Code: TEMBMA3316
Project Title:Smart Building Energy Management System Using Machine Learning And IOTView DetailsProject Code: TEMBMA3287
Project Title:Scalable Edge Device Model for Early Wild Life Fire Detection SystemView DetailsProject Code: TEMBMA3280
Project Title:Home Security System for the Hearing Impaired Using MLView DetailsProject Code: TEMBMA3273
Project Title:Intelligent Access Control System for Granary Based on Face Recognition and Oxygen ConcentrationView DetailsProject Code: TEMBMA3270
Project Title:Virtual Fencing using Yolo Framework in Agriculture FieldView DetailsProject Code: TEMBMA3269
Project Title:A Smart Access Control for Restricted Buildings Using Vehicle Number Plates Recognition SystemView DetailsProject Code: TEMBMA3244
Project Title:ML based Surveillance System for Detection bike ride without Helmet & Triple rideView DetailsProject Code: TEMBMA2574
Project Title:Fire Detection and Prevention System Using Machine LearningView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TEMBMA3316 | Smart Building Energy Management System Using Machine Learning And IOT | |
| 2 | TEMBMA3287 | Scalable Edge Device Model for Early Wild Life Fire Detection System | |
| 3 | TEMBMA3280 | Home Security System for the Hearing Impaired Using ML | |
| 4 | TEMBMA3273 | Intelligent Access Control System for Granary Based on Face Recognitio... | |
| 5 | TEMBMA3270 | Virtual Fencing using Yolo Framework in Agriculture Field | |
| 6 | TEMBMA3269 | A Smart Access Control for Restricted Buildings Using Vehicle Number P... | |
| 7 | TEMBMA3244 | ML based Surveillance System for Detection bike ride without Helmet & ... | |
| 8 | TEMBMA2574 | Fire Detection and Prevention System Using Machine Learning |
Embedded systems are an integral part of modern technology, powering everything from cars to cell phones. Machine learning is a powerful tool for automating the process of making decisions, allowing embedded systems to make decisions without human intervention. By combining the two, embedded systems can become smarter, more efficient and more reliable.
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If you’re ready to take your embedded systems machine learning projects to the next level, contact us today to learn more about how we can help. With our expertise, we’ll help you create a smarter, more efficient and more reliable embedded system.
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Disclaimer - Takeoff Edu Group Projects, are not associated or affiliated with IEEE, in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, and not projects of or by IEEE.
