STEVAL-MKI175V1

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STEVAL-MKI175V1 application field and working principle

The STEVAL-MKI175V1 evaluation board is a parking assistance system (PAS) for monitoring the vehicles on the street and recognizing possible parking and security threats. The board is designed to enable accurate vehicle identification and localization in areas such as parking garages and city streets where vehicles are constantly entering or leaving. The board integrates several sensors, including visible light cameras, parking assistants, short-range radar, and micro-Doppler radar to achieve more precise vehicle identification and motion tracking.

Application Field

The STEVAL-MKI175V1 evaluation board can be used in a variety of applications to monitor and recognize parking and security threats, allowing security professionals to make better informed decisions. It is ideal for use in parking garages to track and identify a vehicle’s location and movement. The board can also be used in security situations, such as tracking suspicious vehicles in locations with multiple entrances or exits. Additionally, the board can be used to accurately identify and localize vehicles in densely populated areas, such as city streets where vehicles are constantly entering or leaving.

Working Principle

The STEVAL-MKI175V1 evaluation board integrates several advanced sensors, including two visible light cameras, a parking assistance sensor, a short-range radar, and a micro-Doppler radar to accurately identify and localize vehicles. The board utilizes a deep learning algorithm to analyze the data collected by the sensors and accurately identify and localize vehicles. This is particularly useful in urban areas where the shape and size of vehicles can change significantly from one vehicle to the next, making it difficult for traditional detection methods to accurately track vehicles. Additionally, the board is capable of tracking vehicles in three dimensions, allowing for simultaneous tracking of multiple vehicles in a given area.

The board also utilizes motion tracking and trajectory planning algorithms to recognize potential security threats. These algorithms monitor the speed and trajectory of vehicles in order to recognize unauthorized or dangerous behaviors. Additionally, the board can recognize traffic patterns, such as when vehicles are entering or leaving an area more quickly than normal.

The board is equipped with an advanced electrical isolation system and a wide range of electromechanical components to ensure safe and reliable operation. The board also has several networking capabilities, allowing it to communicate with other boards, sensors, and systems, such as the Internet of Things (IoT) systems, to transmit and receive data.

The STEVAL-MKI175V1 evaluation board is a comprehensive tool for monitoring and recognizing parking and security threats. Its advanced sensors and algorithms enable accurate vehicle identification and localization, while its robust electrical isolation system and PC-based GUI make it easy to use. Additionally, its networking capabilities and comprehensive software tools make it an ideal solution for a variety of applications where accuracy and security are paramount.

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