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Hans de Bruin’s DIY handsfree goggles allows you to record HD video of what you are seeing while having both hands free. He is using big safety goggles as the framework. He has removed the glasses and 3D printed an adapter that fits into the goggles frame and holds a video camera. He also uses a biconvex optical lens between his eye and the camera to enlarge the view of the LCD screen so that he could have a better view of what he is filming.
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Here’s an Instructable about a DIY charger for car’s battery with an analog DC ammeter in the front panel. A PIC12F683-based control circuit is enclosed inside which adds some intelligence to this charger. The PIC MCU checks the terminal voltage of the battery being charged in every ten minutes using one of its analog inputs, and if it is found above a set threshold, the charging process is stopped. A relay switch is included into the circuit to connect/disconnect the charger output and the battery terminals.
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Measuring input signal frequency is a common requirement in many applications like tachometer, frequency meter, tone detection, etc. The two classic approaches of frequency measurement are measure the number of cycles in a fixed period of time and measure the time of one cycle. This application note from Cypress discusses the advantages and limitations of these methods and also presents a hybrid approach along with a sample project enabling measurement of frequencies with a typical error of 0.0016% (16 ppm).
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Parking assistance systems are becoming a common feature in modern day cars to enhance safety and driver convenience. These systems use ultrasonic transducers and a microprocessor unit to compute the distance between the surrounding objects and car’s body. This application note from Cypress describes how to build an ultrasonic distance-measurement systems and provides a reference hardware design of a four-channel ultrasonic distance measurement system for parking-assistance applications.
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The OpenHardwareExG project is aimed to develop an open source hardware and software platform for electrophysiologic signal processing applications, including ECG, EEG, EMG, ENG, and EOG. The current version of the design is based on an ADS1299 analog front end for capturing electrophysiologic signals and integrates an Arduino Due compatible microcontroller along with 5kV of reinforced isolation for safety.
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