Vibration analysis vs Smell.Board Hub

The application analyzes the data from the phone's accelerometer and builds a vibration spectrum. This allows the evaluation of not only the strength and frequency of the vibration, but also the speed of rotation of various mechanisms: fans, motors, various rotating components; since the vibration frequency often (but not always) coincides with the frequency of rotation. The application will be useful in determining the quality of fans and motors, in determining whether their actual parameters coincide with the ones declared by the manufacturer, it will find its uses in monitoring of malfunctions (e.g. in bearings) or while testing the quality of assembly and balancing of the homemade mechanisms with rotating parts. Do not expose your iPhone to an excessive vibration, as it may break. If the analyzed vibration is too strong, use a foam material pad, or put your iPhone at a distance where the force of the vibration is not dangerous to your device. In addition to decreasing vibration for the iPhone, a foam pad improves contact between the iPhone and the vibrating part, which makes the transmission of vibration more accurate and produces better results. BE SURE TO READ THE EXAMPLES OF THE VIBRATION SPECTRUM ANALYSIS AT THE APPLICATION WEB SITE (usefulmobileapps.com). Features of the full version of the application: • The choice of units of measurement. X-axis: Hz or RPM. Y-axis: g, m/s², ft/s², mm/s, in/s (ips), mm, mil, dB(A), dB(V). • FFT size (for built-in accelerometer): 64, 128, 256, 512, 1024, 2048, 4096 (data collection time from 0.64 sec. to 40 sec.). For an accelerometer connected to the headphone jack FFT size from 2048 to 131072. For Bluetooth-accelerometer FFT size from 512 to 32768. • Linear and logarithmic frequency scale. • Linear frequency scale with maximum details (there is a choice for the displayed frequency range). • Peak frequency detection. • Values of any point (for frequency scale and sound wave (at maximum detail)). • Selecting which axis of the accelerometer is to collect data. • Octave bands (1/1,1/3,1/6,1/12). • Window functions (Blackman, Hamming, Hann (Hanning), Blackman–Nuttall, Gaussian, Flat top). • Peak hold. • Exponential spectrum averaging. • Taking a screenshot by lightly touching the screen. • Root mean square (RMS, for vibration) or average value (AVG, for absolute values) for vibration wave. Values are calculated only for data displayed on the screen. • Calibration of the built-in accelerometer. Need EXCLUSIVELY for measuring absolute acceleration values (gravitational acceleration). To activate the settings, turn on the "Vibration wave" mode and turn off the "Only fluctuations" mode. The parameters of the accelerometer depend on the temperature and voltage of the battery, and may change over time. To obtain stable values, the accelerometer should work for several minutes. • Saving the measurement results in the application. Files with saved data (SavedData_[date]_[time].txt) can be copied to a desktop/laptop computer or transferred to another iPhone using iTunes. • Export data to a text ("Y=[y1 y2... yn]", "y1;y2;... yn", "x1;y1\nx2;y2;...") or WAV file. Number of points is adjusted via "FFT size". To export octaves, use "x1;y1\nx2;y2;...". • Accelerometer connects to the headphone jack (measurement range from 5 Hz to 24000 Hz). • A stroboscope for an external accelerometer (the feature was proposed by Todd French from Los Angeles, California). • Bluetooth accelerometer. When converting acceleration into speed or displacement, at 0-5 Hz frequencies noise starts prevailing over vibration peaks, which is why such frequencies are disregarded when doing the conversion. Should vibration frequency exceed 50 Hz, the peak will be recorded at an incorrect frequency, and hence speed or displacement will not be calculated correctly. Unrealistically high speed or large displacement may be a sign of this kind of false frequency.

Today, machines can see, hear, feel, and even learn—but what about smell? Smell Board Hub introduces the missing sense to digital systems. Powered by advanced nanomaterial-based sensing technology and AI-driven analysis, the app enables real-time smell detection, recognition, and interpretation. Built as part of the Smell Inspector Developer Kit, Smell Board Hub provides a powerful platform to monitor, annotate, and analyze smell data from smart sensing devices. It is ideal for industrial safety, research, environmental monitoring, and smart environment applications. What is Smell Board Hub? Smell Board Hub is an AI-powered application designed to: Capture real-time smell data from connected devices Analyze and classify smells using machine learning Convert raw sensor data into meaningful insights Enable annotation and continuous improvement of detection accuracy It acts as a bridge between hardware sensors and intelligent software systems, making smell detection practical and scalable. Real-Time Monitoring and Insights Live smell detection results Timestamped activity logs Model version tracking Monitor system performance and make informed decisions using real-time data. Smell Annotation and Event Management Label detected smells with custom tags Convert detections into structured events Group multiple detections into a single event Define time windows for precise observations This system improves data quality and strengthens machine learning models. Manual Event Recording Record smell or substance details manually Add start and end times Include notes and observations Maintain accurate datasets for validation Useful for real-world scenarios where manual input is required. Notifications and Alerts Instant alerts for detected smells Device-specific notifications Filter notifications by status View detailed prediction data Stay informed and respond quickly to environmental changes. Feedback and Model Improvement Mark predictions as correct, incorrect, or uncertain Provide contextual feedback Improve AI model accuracy over time User feedback directly enhances system intelligence. Sensor Data Integration Smell Board Hub integrates with advanced sensing hardware, including: 4 Smell iX16 detector chips Temperature sensors Humidity sensors View both real-time and historical environmental data for deeper analysis. Smell Inspector Device Integration The app connects seamlessly with the Smell Inspector device, a developer kit designed for smell detection applications. Key capabilities include: Multiple sensor chip integration Compatibility with smartphones, tablets, and PCs Suitable for testing, research, and prototyping Supports diverse smell detection use cases Key Benefits AI-powered smell detection and analysis Real-time monitoring and alert system Advanced annotation and event tracking Seamless hardware integration Clean and intuitive user interface Reliable and secure platform Security and Access Secure login system Password recovery with verification Email-based authentication Safe and reliable data handling About SmartNanotubes Technologies SmartNanotubes Technologies is focused on enabling digital smell recognition. The company aims to make smell detection fast, accessible, and practical for businesses developing gas and odor sensing solutions. Learn more at: http://smart-nanotubes.com