The Atomrock Edge Computing (AEC) system provides small to large scale AI processing capabilities at the edge. Built on the Atomrock architecture, AI algorithms are designed to accommodate different customer sizes and demands.
Skip unwanted information to see only relevant events; compare motion charts to observe activity in different locations and time.
Utilize AI to identify and count items based on locations. Provide time-scale information with hour, day, week, or month reports accompanied by maps.
Advance pattern tracking AI for detail in-frame analysis by the seconds. Useful tool to locate busy traffic and activity patterns.
Identify faces detected in a restricted area and trigger real-time alerts or perform face searches with an existing digitized face database.
Use a photo to find all potential matches in the cloud from various locations and months of recordings from thousands of cameras within seconds.
A useful tool for automating the scoring of cleanliness in an area or identifying abnormal patterns and provide evidence.
Track various types of objects and their locations. It is a useful tool to know real-time availability of vacancies and parking status.
Real-time identification of human body parts and action types, such as climbing or crawling behavior, and their correlation with marked perimeters and areas. AI can promptly alert users when unauthorized behavior or potential hazardous events are detected.
Prevent unauthorized movement patterns and directions of objects, provide evidence, and alert users.
users can convert video and audio files such as meeting minutes, conversations, and lecture recordings into text for easy viewing and editing.
SCHEDULE A MEETING
