Regarding embedded system projects, Takeoff Projects are characterized by addressing technical issues, going beyond typical solutions, and implementing reliable solutions with the help of modern microcontrollers, sensors, and real-time operating systems. New generation analytic applications will be spread across a broad range of takeoff initiatives that will include IoT devices, automation systems and wearable applications. For each project, attempts will be made to acquire hands-on experience on assembly integration of the hardware and the software, fine-tuning, as well as processing of real-time data. We assist you with all your system projects as well as raise technical standards by offering pertinent and adaptable solutions. Get involve in our projects to build more practical experience and decrease impacts in the field of embedded systems.
Project Code: TEMBMA3793
Project Title:Multi-Level Bank Locker Security System Using Raspberry Pi with Face, Fingerprint, and OTP VerificationView DetailsProject Code: TEMBMA3791
Project Title:Renal Care: Personalized Alerting System for Renal Cancer Recurrence Prevention via IoT and MLView DetailsProject Code: TEMBMA3790
Project Title:AI-Based Intelligent Garbage Classification and Disposal SystemView DetailsProject Code: TEMBMA3789
Project Title:Raspberry Pi-Based Non-Invasive Anemia Detection via Palpebral Conjunctiva Image AnalysisView DetailsProject Code: TEMBMA3788
Project Title:Smart Stick to Detect wildlife Animals for Trekkers Using Raspberry PiView DetailsProject Code: TEMBMA3787
Project Title:Real-Time Safety Helmet Detection on Construction Sites Using YOLO Models and Raspberry PiView DetailsProject Code: TEMBMA3786
Project Title:IoT-Enabled Autonomous Wheelchair with Real-Time Health Monitoring and Intelligent Navigation AssistanceView DetailsProject Code: TEMBMA3785
Project Title:Edge AI-Powered Food Calorie Estimation for Real-Time Dietary Assessment on Raspberry PiView DetailsProject Code: TEMBMA3784
Project Title:An Innovative Smart Irrigation Using Embedded and Regression-Based Machine Learning Technologies for Improving Water Security and SustainabilityView Details S.no | Project Code | Project Name | Action |
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1 | TEMBMA3793 | Multi-Level Bank Locker Security System Using Raspberry Pi with Face, ... | |
2 | TEMBMA3792 | Coin Operated Water ATM with Bottle Dispenser | |
3 | TEMBMA3791 | Renal Care: Personalized Alerting System for Renal Cancer Recurrence P... | |
4 | TEMBMA3790 | AI-Based Intelligent Garbage Classification and Disposal System | |
5 | TEMBMA3789 | Raspberry Pi-Based Non-Invasive Anemia Detection via Palpebral Conjunc... | |
6 | TEMBMA3788 | Smart Stick to Detect wildlife Animals for Trekkers Using Raspberry Pi | |
7 | TEMBMA3787 | Real-Time Safety Helmet Detection on Construction Sites Using YOLO Mod... | |
8 | TEMBMA3786 | IoT-Enabled Autonomous Wheelchair with Real-Time Health Monitoring and... | |
9 | TEMBMA3785 | Edge AI-Powered Food Calorie Estimation for Real-Time Dietary Assessme... | |
10 | TEMBMA3784 | An Innovative Smart Irrigation Using Embedded and Regression-Based Mac... |
Project Code: TEMBMA3793
Project Title:Multi-Level Bank Locker Security System Using Raspberry Pi with Face, Fingerprint, and OTP VerificationView DetailsProject Code: TEMBMA3791
Project Title:Renal Care: Personalized Alerting System for Renal Cancer Recurrence Prevention via IoT and MLView DetailsProject Code: TEMBMA3790
Project Title:AI-Based Intelligent Garbage Classification and Disposal SystemView DetailsProject Code: TEMBMA3789
Project Title:Raspberry Pi-Based Non-Invasive Anemia Detection via Palpebral Conjunctiva Image AnalysisView DetailsProject Code: TEMBMA3788
Project Title:Smart Stick to Detect wildlife Animals for Trekkers Using Raspberry PiView DetailsProject Code: TEMBMA3787
Project Title:Real-Time Safety Helmet Detection on Construction Sites Using YOLO Models and Raspberry PiView DetailsProject Code: TEMBMA3786
Project Title:IoT-Enabled Autonomous Wheelchair with Real-Time Health Monitoring and Intelligent Navigation AssistanceView DetailsProject Code: TEMBMA3785
Project Title:Edge AI-Powered Food Calorie Estimation for Real-Time Dietary Assessment on Raspberry PiView DetailsProject Code: TEMBMA3784
Project Title:An Innovative Smart Irrigation Using Embedded and Regression-Based Machine Learning Technologies for Improving Water Security and SustainabilityView Details S.no | Project Code | Project Name | Action |
---|---|---|---|
1 | TEMBMA3793 | Multi-Level Bank Locker Security System Using Raspberry Pi with Face, ... | |
2 | TEMBMA3792 | Coin Operated Water ATM with Bottle Dispenser | |
3 | TEMBMA3791 | Renal Care: Personalized Alerting System for Renal Cancer Recurrence P... | |
4 | TEMBMA3790 | AI-Based Intelligent Garbage Classification and Disposal System | |
5 | TEMBMA3789 | Raspberry Pi-Based Non-Invasive Anemia Detection via Palpebral Conjunc... | |
6 | TEMBMA3788 | Smart Stick to Detect wildlife Animals for Trekkers Using Raspberry Pi | |
7 | TEMBMA3787 | Real-Time Safety Helmet Detection on Construction Sites Using YOLO Mod... | |
8 | TEMBMA3786 | IoT-Enabled Autonomous Wheelchair with Real-Time Health Monitoring and... | |
9 | TEMBMA3785 | Edge AI-Powered Food Calorie Estimation for Real-Time Dietary Assessme... | |
10 | TEMBMA3784 | An Innovative Smart Irrigation Using Embedded and Regression-Based Mac... |
Takeoff Projects specialize in embedded system projects that drive innovation and efficiency. Takeoff focus on various applications on smart home devices, industrial automation and wearable technology. We put into practice advanced microcontrollers, sensors, and real-time operating systems to give hands-on solutions that bring your ideas to life. Be it functionality enhancement, performance improvement, or the use of new technologies, our highly experienced team works on a project-tailored basis. Take a deep dive into our embedded system projects to experience the best, create impactful solutions, and maintain excellence over technology. Bring your vision to life with Takeoff Projects.