| Summary: | High-speed photography presents a significant challenging for photographers as they strive to capture rapid and elusive events such as balloon bursting. The transient nature of these events necessitates precise timing, requiring photographers to invest substantial time and effort. Using traditional methods, photographers may need to take thousands of shots in pursuit of seizing the perfect moment, rendering high-speed photography laborious and time-consuming.
The Snap Assist project addresses this issue by utilizing technology to simplify the photography process. By incorporating Microcontroller Units (MCUs) or Single Board Computers (SBCs) along with an assortment of sensors and actuators, Snap Assist applications seek to trigger camera and flash at precise moment to capture the desired scenes upon events detected.
This Final Year Project aims to enhance and expand the capabilities of the existing Snap Assist application. The primary focus is on investigating sensors and actuators and evaluate their suitability with the current framework, hence increasing the range of scenes and phenomena that can be captured using Snap Assist applications.
The project integrates both hardware and software components, utilizing the Bluno Nano microcontroller and an Android application, Snap Assist v4. The mobile app manages user inputs and communicates with the Bluno Nano to orchestrate the synchronized operation of sensors, actuators, camera, and flash. This coordination guarantees optimal timing for capturing high-speed images seamlessly.
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