Method, apparatus and system for supporting edge computing-based prediction of collision risk between specific objects

An apparatus for supporting edge computing-based prediction of collision risk between specific objects, comprising:

• a communication interface;
• at least one recording module;
• a memory;
• a processor operably connected to the communication interface, the at least one recording module, and the memory;
• and
• the processor being configured to:
• acquire a video of a specific space recorded by at least one recording module;
• check a location of each object by detecting a plurality of objects in the acquired video based on at least one user-defined parameter value set through a platform server;
• check a calibration parameter value corresponding to the location of each object;
• calculate a distance between the objects based on the calibration parameter value;
• and
• display the distance between each of the objects by overlaying within the acquired video.

A system for supporting edge computing-based prediction of collision risk between specific objects, comprising:

• at least one image-capturing device that acquires a video of a specific space, recorded by at least one recording module to calculate a distance between a plurality of objects and thereby determines whether there is a collision risk;
• a platform server communicatively connected to each image-capturing device to store and manage parameter values;
• a user terminal connected to the platform server to provide a user interface;
• each image-capturing device being configured to check a location of each object by detecting the plurality of objects in the acquired video and calculate a distance between each of the objects based on calibration information;
• the platform server being configured to transmit at least one user-defined parameter value to each image-capturing device;
• and
• the user terminal being configured to display the video received from each image-capturing device or a risk assessment result through the platform.