Abstract: A computer implemented method of performing single pass optical character recognition (OCR) including at least one fully convolutional neural network (FCN) engine including at least one processor and at least one memory, the at least one memory including instructions that, when executed by the at least processor, cause the FCN engine to perform a plurality of steps. The steps include preprocessing an input image, extracting image features from the input image, determining at least one optical character recognition feature, building word boxes using the at least one optical character recognition feature, determining each character within each word box based on character predictions and transmitting for display each word box including its predicted corresponding characters.

Abstract: A computer implemented method of performing single pass optical character recognition (OCR) including at least one fully convolutional neural network (FCN) engine including at least one processor and at least one memory, the at least one memory including instructions that, when executed by the at least processor, cause the FCN engine to perform a plurality of steps. The steps include preprocessing an input image, extracting image features from the input image, determining at least one optical character recognition feature, building word boxes using the at least one optical character recognition feature, determining each character within each word box based on character predictions and transmitting for display each word box including its predicted corresponding characters.

Abstract: A computer implemented method of performing single pass optical character recognition (OCR) including at least one fully convolutional neural network (FCN) engine including at least one processor and at least one memory, the at least one memory including instructions that, when executed by the at least processor, cause the FCN engine to perform a plurality of steps. The steps include preprocessing an input image, extracting image features from the input image, determining at least one optical character recognition feature, building word boxes using the at least one optical character recognition feature, determining each character within each word box based on character predictions and transmitting for display each word box including its predicted corresponding characters.

Abstract: A personal or spot area environmental management system has a low pressure air supply in fluid communication with an air nozzle and a water supply in fluid communication with a water nozzle. The air nozzle and water nozzle are arranged that the water nozzle includes a vortex in the air stream from the air nozzle reducing the pressure. The low pressure facilitates drawing water from the water supply through the water nozzle. The water exiting the water nozzle has an average diameter of 60 microns or less, which facilitates complete evaporation and effectively produces a cool, dry air stream.

Abstract: A personal or spot area environmental management system has a low pressure air supply in fluid communication with an air nozzle and a water supply in fluid communication with a water nozzle. The air nozzle and water nozzle are arranged that the water nozzle includes a vortex in the air stream from the air nozzle reducing the pressure. The low pressure facilitates drawing water from the water supply through the water nozzle. The water exiting the water nozzle has an average diameter of 60 microns or less, which facilitates complete evaporation and effectively produces a cool, dry air stream.

Abstract: The present invention provides a system and a method for providing information about resource availability, especially during an emergency such as a natural disaster. The system stores resource information about multiple facilities, across cities, counties, states and even countries. Such information can be provided to designated users based on specified access levels for the user and the resource information. Further, the system is able to exchange the resource availability information with external systems and databases. The resource information is also automatically updated to reflect the most current information. The system is useful in directing resources to participate in an emergency. Further the system aggregates resource information based on one or more attributes, such as region, hospital, city, state, etcetera, that is associated with the resource information.