IWR6843 Workplace Fall Detection Alerts
Budget: $750 – $1,500 USD
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,
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,