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The aim in the project is to make a standalone system for automated detection and monitoring of unauthorized entities like firearms on Dwell video feed by integrating beneficial areas of both of those electronic and thermal movies. A live video clip feed from IR NV thermal digicam ‘Sophie Sight’ is converted to digital frames using body grabber card which is then streamed to Raspberry Pi two, the ARM processor runs as well as GPU to carry out detection, monitoring and classification of human beings getting prohibited armaments.

The flyback transformer generates the needed outputs. Varying the frequency and obligation cycl3e of the pulse (PWM), we make another expected outputs. As it is actually a high voltage electrical power supply we also deal with current and voltage and include fuses to guard The entire system.

This can be important simply because several a time issue from the affected person is vital and due to this the respiration charge can't be calculated using standard techniques. Non-Make contact with and non-invasive measurement of respiration price works by using the basic principle of Doppler shift because the motion of chest all makes a stage change b/w the incident and the reflected microwaves. The correlation of CT scan and respiration rate can be used for efficient tumor concentrating on, Physiological sensing finds apps in many parts namely army, biomedical and rescue operations.

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This project is about developing, applying and packaging a significant voltage electroshock weapon (otherwise often known as a stun gun) which will quickly paralyze a human subject, properly assisting the law enforcement companies’ staff carrying the weapon. The weapon delivers really higher voltage (50kg peak), extremely small present pulses, that could penetrate just about 0.

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The general aims of the project should be to style and design and put into practice a transportable EEG acquisition procedure operated b y battery that has the aptitude of selecting EEG indicators within the motor cortex region of your Mind. This project is further divided into 3 parts which can be the acquisition, acquire and filtering. Reusable gold plated electrodes will likely be placed above the motor cortex are according to the 10-twenty electrode placement procedure to obtain Uncooked noisy EEG.

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Our project is comprised of two parts, signal processing portion and wheel chair Command. Sign processing component is made up of sign acquisition, aspect extraction and classification. It's highly regarded electrical abstract for electrical engineering pupils. In starting point sign are expected with the assistance of electricity lab Advertisement instrument, then the subsequent action is always to apply element extraction using AR product strategy in MATLAB. Following that, for classifying the sign, SVM technique is applied. Now these alerts are usable and they are despatched to the electric wheelchair (also self-built). Computer software and hardware interfacing is done along with the indicators are sent to Arduino controller to control wheel chair as a consequence of these indicators.

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