Respiratory rate is one of important vital signs, i.e. an indication of patient's health state and its normal rates for adult person at rest may range from 12 to 20 breaths per minute (BPM). The rates may increase due to fever, illness, and other medical conditions. We report an effort to develop and calibrating a non-contact and low-cost respiratory rate monitoring system, based on digital image correlation technique using a used Microsoft Kinect camera. Steps accomplished in this reported work was designed as a hands-on training for last year student, where they can learn and grasp on how to develop a clinical instrument and to assure its measuring performance. Calibration steps were accomplished to ensure the accuracy of the monitoring results. Average measurement errors in distance determination was below 1%, meanwhile overall error in determining measured cycles were the range of 2.4% - 4.5 % (i.e. translational motion with repetition cycle of 12 - 18 cycles per minute, which is directly proportional to beat-per-minute (BPM)). The proposed system was then tested to 10 volunteers from students, to determine the volunteer's respiratory rate, i.e. either the chest and belly respiratory rates.
Pothole detection system based on digital image correlation had been made using Kinect sensor that could detect and quantified pothole dimensions such as depth, area, volume and position. Pothole detection was start with normalization process on depth image from the pothole that was used as a quantifying object. Then thresholding was done on the normalized image in order to separate between pothole and its background. Dimension quantification was done by making the work model from the sensor characterization result. Next, validation system process was done by testing the artificial pothole with the depth variation of 2 cm, 4 cm, 6 cm, 8 cm, 10 cm and 12 cm, every depth variation had each given diameter of 5 cm, 10 cm, 15 cm, 20 cm, and 25 cm. Based on the results of the validation, the system has an error value of less than 7% on the hole diameter range of 5-25cm with a depth range of 6-12 cm. The depth resolution of the system is 0.43 cm while the system spatial resolution depends on the distance between sensor and the quantifying object, for sensor system with distance span of 120 cm would have spatial resolution on horizontal and vertical axis of 0.21 cm and 0.22 cm respectively.
Water turbidity testing is needed in the process of water treatment for water to be consumed. Therefore, an effort is needed to develop a tool that serves as a detector of turbidity of water, in order to set a standard parameters of water clarity that can be consumed by the community. In this research, the physics parameters related to water consumption, ie turbidity or turbidity are discussed. Turbidity describes the optical properties of water determined by the amount of light scattered by the materials present in the water. The direction of the transmitted light path will change when light touches the particles in the water column. The particle size affects the value of turbidity, where in the testmilk powder and coffee are suspended matter that causes water turbidity. The particle size of milk powder is smaller than coffee, therefore, the light is more scattered in milk solution than with turbidity value about 3.01 NTU while coffee 2.67 NTU at 5 gr / l solution.
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