IWR6843 Workplace Fall Detection Alerts

$750-1500 USD

Fechado

Publicado há 2 meses

$750-1500 USD

Pago na entrega

I have an IWR6843 radar module ready to deploy in a workplace setting and need an engineer who already knows this board inside-out to build a reliable fall-detection pipeline that pushes real-time data on uart as soon as fall is detected. Here is what I’m aiming for: the radar should run locally, process the raw point-cloud or range-Doppler data, classify a fall versus normal movement with high confidence. I will provide the hardware (IWR6843ISK + MMWAVEICBOOST or our custom carrier) and can give remote access to a test rig if required, but I expect you to handle the firmware, algorithm tuning, and basic integration. Deliverables • Compiled firmware and full source built on the latest TI mmWave SDK (or clearly state the version you choose) • Signal-processing / ML model files and training notebook or script • Setup guide so I can reproduce the build in Code Composer Studio and run field tests from scratch • Short validation report: confusion matrix or similar from workplace trials showing fall detection vs. normal activity Acceptance will be based on repeatable detection in our office lab with latency low enough to notify staff in real time. If you have sample logs or demos from past IWR6843 projects, that will speed up selection. Only people who has experience in IWR6843 should apply,

ID do Projeto: 40019342

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5 propostas

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Ativo há 1 mês

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5 freelancers estão ofertando em média $945 USD for esse trabalho

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

$1.200 USD em 7 dias

4,8

(67 avaliações)

6,9

@carlitanjuguna05

Hi, I’m excited about the opportunity to work on your IWR6843 workplace fall detection project. I have extensive experience with the IWR6843 radar module and am confident in my ability to build a reliable fall-detection pipeline that meets your requirements. My background in AI Development, Signal Processing, and Embedded Systems uniquely positions me to effectively process the raw point-cloud and range-Doppler data. I will ensure that the system can accurately classify falls versus normal movement with high confidence. Using the latest TI mmWave SDK, I will compile and tune the firmware, while also delivering the required signal-processing and ML models along with detailed documentation. I propose to complete this project in 14 days, ensuring all components are tested for real-time notification. This will include a validation report and setup guide for reproducibility.

$800 USD em 6 dias

5,0

(14 avaliações)

5,8

@Expert016

Hello, I’ve gone through the requirements and they seem straightforward. However, I’d like to confirm a few things. Let’s connect to discuss. Thanks,Nishit:)

$850 USD em 2 dias

0,0

(0 avaliações)

0,0

@ModernTechno442

Harnessing my extensive experience in data processing and technology, I am confident in offering my services to build a robust fall-detection pipeline for your IWR6843-based project. Our company, an acclaimed Web Design & Web Development Company, has been at the forefront of crafting advanced solutions for clients. While our core expertise lies in website development, we've spent substantial time understanding and utilizing various technologies. Importantly, we have intimate knowledge of the IWR6843 board thanks to similar projects we've successfully undertaken in the past.

$1.125 USD em 7 dias

0,0

(0 avaliações)

0,0

@liliia1

My name is Liliia Kizyn, and I’d be glad to help you build a robust, real-time fall-detection pipeline on the IWR6843. I have hands-on experience with TI’s mmWave devices—particularly the 6843 family—covering everything from tuning the signal-processing chain (range FFT, Doppler FFT, CFAR, clustering) to building on-board classification logic that reliably distinguishes falls from typical workplace movement. My approach is to run the full pipeline locally on the radar, ensuring low-latency inference and immediate UART alerts without depending on external compute or unstable links. ✦✧✦ I work directly with the mmWave SDK (including OOB demos, DSS/MSS partitioning, and custom processing blocks), and I can integrate either a classical motion-feature model or a lightweight neural network depending on your constraints. You’ll receive reproducible CCS projects, clear build steps, and tuned configuration profiles for your specific workspace. I also provide a validation report based on structured lab trials—confusion matrix, latency measurements, and interpretation notes—so you can verify reliability before deployment. My goal is a stable firmware image that performs consistently on both the ISK + MMWAVEICBOOST setup and your custom carrier. ✺✹ Before refining the feature-extraction pipeline, could you clarify whether you prefer classification from point-cloud processing or from full range-Doppler heatmaps? Warm greetings ❉

$750 USD em 6 dias