Prototipe Pengaman Kebakaran Rumah Menggunakan Thermal Camera

80% of cases of building or house fires in Indonesia are caused by electrical short circuits. Currently, there are only MCB and ELCB devices protecting for building electrical installations, but these devices cannot protect the conditions that cause fires. In a short circuit, there will be heating of the short cable or device. In this study, researchers used a thermal camera that can be placed on an electrical panel to be able monitor the temperature of electrical panel which includes cables, MCB, or can be placed on other devices. When the detected object temperature exceeds a predetermined limit, the device will provide a warning in the form of sound and text and can automatically cut off electricity in the building's electricity network. This research produces a prototype of a power grid safety device using a Raspberry Pi that can be applied to buildings and objects that have the potential to emit excess heat that can cause fires. Systems it will be able to monitor, provide warnings and can automatically cut off the electricity network when the temperature of the observed object exceeds the specified limit and has the potential to emit excess heat which can cause a fire.

Determination of Object Temperature Influenced by Ambient Temperature as a Solution of Newton’s Law of Cooling or Heating Rates

Thermal physics experiments often require accurate data about the thermal condition of the observed object so that its temperature should be measured. The object temperature, which is observed directly using a measuring instrument, does not represent its actual thermal condition because there is an influence of the object temperature and the ambient temperature differences, especially if the object is not in adiabatic isolation. Newton’s Law on cooling or heating rate is used to determine the actual object temperature if the ambient influence is eliminated. The method used in this research is matching analyses between mathematical solutions and empirical data. In thermal physics experiments in laboratories, particularly in the Basic Physics Laboratory, the influence of ambient temperature-known as Newton Correction-often uses a linear temperature-change approach to time. Thus, an analysis of the differential equation model of Newton’s Law of cooling and heating rates is carried out. The result shows that the objects temperature function over time is in the form of an exponential function, both for a constant ambient temperature, and an ambient temperature that changes over time. The result of this analysis is also in line with the experimental data of the Mechanical Heat Equivalence experiment conducted in the Basic Physics Laboratory of Bandung State Polytechnic.

Skin-inspired quadruple tactile sensors integrated on a robot hand enable object recognition

Robot hands with tactile perception can improve the safety of object manipulation and also improve the accuracy of object identification. Here, we report the integration of quadruple tactile sensors onto a robot hand to enable precise object recognition through grasping. Our quadruple tactile sensor consists of a skin-inspired multilayer microstructure. It works as thermoreceptor with the ability to perceive thermal conductivity of a material, measure contact pressure, as well as sense object temperature and environment temperature simultaneously and independently. By combining tactile sensing information and machine learning, our smart hand has the capability to precisely recognize different shapes, sizes, and materials in a diverse set of objects. We further apply our smart hand to the task of garbage sorting and demonstrate a classification accuracy of 94% in recognizing seven types of garbage.

SHUTTER-LESS TEMPERATURE-DEPENDENT CORRECTION FOR UNCOOLED THERMAL CAMERA UNDER FAST CHANGING FPA TEMPERATURE

Conventional temperature-dependant correction methods for uncooled cameras are not so valid for images under the condition of fast changing FPA temperature as usual, therefore, a shutter-less temperature-dependant correction method is proposed here to compensate for these errors and stabilize camera's response only related to the object surface temperature. Firstly, sequential images are divided into the following three categories according to the changing speed of FPA temperature: stable (0°C/min), relatively stable (<0.5°C/min), unstable (>0.5°C/min). Then all of the images are projected into the same level using a second order polynomial relation between FPA temperatures and gray values from stable images. Next, a third order polynomial relation between temporal differences of FPA temperatures and the above corrected images is implemented to eliminate the deviation caused by fast changing FPA temperature. Finally, radiometric calibration is applied to convert image gray values into object temperature values. Experiment results show that our method is more effective for fast changing FPA temperature data than FLIR GEV.