Browse categories
Explore
Fiverr Pro
English
$
USD
I will develop real time sensor data logging systems for ai dataset creation
pcb design, embedded system and firmware development
An Embedded Hardware Engineer with experience in PCB design, circuit design, schematic design, and PCB layout for embedded and IoT applications. we develop efficient, reliable, and production-ready e...
About this Gig
I'M GLAD YOU FOUND MY GIG!
I will design and develop real-time sensor data logging systems for AI/ML dataset creation, IoT projects, embedded systems, and research applications.
What I Can Design For You:
- Real-time data acquisition systems (Arduino, ESP32, Raspberry Pi, STM32, industrial DAQ)
- Multi-sensor synchronization (IMU, camera, LiDAR, temperature, humidity, biosignals, audio, pressure, GPS)
- Data transport via Serial/UART, MQTT, WebSockets, Bluetooth, or Wi-Fi
- Structured storage: CSV, JSON, HDF5, Parquet, InfluxDB, TimescaleDB, SQLite
- Automatic and manual labeling/annotation pipelines for supervised learning
- Data cleaning, outlier detection, and quality control logging
Why Choose My Service?
- Strong background in embedded systems + AI/ML data pipelines
- Focus on precise timestamp synchronization critical for multi-sensor AI datasets
- Clean, well documented, reusable code
- Experience with hardware + software integration (not just scripts)
Deliverables:
- Fully functional real-time sensor logging system (firmware + software)
- Source code with documentation/comments
- Sample dataset output (CSV/JSON/HDF5 as applicable)
- Setup/installation guide
- Basic troubleshooting guide
Other Data Science & ML Services I Offer
FAQ
What is a real-time sensor data logging system?
It's a system that continuously captures data from sensors (like temperature, motion, or cameras) as it's generated, timestamps it accurately, and stores it for later use — commonly for AI training, monitoring, or research.
Can you build a data logger for machine learning or AI training datasets?
Yes, I specialize in building data pipelines specifically structured and labeled for AI/ML model training, including supervised learning datasets.
What hardware/microcontrollers do you support?
I work with Arduino, ESP32, ESP8266, Raspberry Pi, STM32, and most industrial DAQ systems, as well as USB/serial-connected sensors.
What types of sensors can you integrate?
IMUs, accelerometers, gyroscopes, cameras, LiDAR, temperature/humidity sensors, pressure sensors, biosignal sensors (ECG/EMG), GPS, audio, and more.
Do you provide IoT data collection and monitoring systems?
Yes, I build IoT-based logging and monitoring systems with real-time data transmission via MQTT, WebSockets, or Wi-Fi/Bluetooth.
Can the data be exported in a format compatible with TensorFlow or PyTorch?
Yes, I can structure and export datasets in CSV, JSON, HDF5, or Parquet formats ready for ML frameworks.
Do you handle multi-sensor synchronization?
Yes, precise timestamp synchronization across multiple sensors is a core part of my process, especially important for sensor fusion applications.
Can you also build a dashboard to visualize live sensor data?
Yes, Standard and Premium packages include real-time dashboards for data visualization and monitoring.
Do I need to provide the hardware/sensors myself?
Yes, you'll need to provide the physical sensors/hardware; I develop and configure the software/firmware to work with them (I can also advise on suitable hardware).
What if I need a custom solution not listed in the packages?
No problem message me with your project details and I'll provide a custom quote and timeline tailored to your specific requirements.
