Glossary

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A

AI edge computing involves processing data at the edge of the network, near the source of data. Maris-Tech integrates AI edge computing into its products to provide intelligent, real-time analytics and decision-making capabilities on the devices themselves, such as on drones or unmanned vehicles.

A mode where a system automatically optimizes settings to reduce latency. Maris-Tech’s products feature an auto-low latency mode to ensure that its surveillance systems always operate with the lowest possible delay, which is important for mission-critical applications.

The use of AI to analyze video content. Maris-Tech’s AI video analysis is used in their surveillance products to detect, recognize, and analyze objects or behaviors within the video feed, providing insights for security and intelligence applications.

E

This is another way to refer to AI edge computing. It underscores the use of artificial intelligence algorithms on edge devices. Maris-Tech’s surveillance systems that incorporate edge computing AI can process and analyze video and audio data locally, enhancing performance and speed.

These are systems that combine video analytics with edge computing. Maris-Tech’s solutions include intelligent video processing capabilities on edge devices, enabling quick response times and decision-making in surveillance applications.

This involves the integration of video processing capabilities into hardware devices. Maris-Tech’s products that feature embedded video processing can handle complex video and audio data without the need for external processing resources, suitable for compact and remote devices like drones.

I

An advanced form of video content analysis that uses AI. In Maris-Tech’s context, intelligent video analysis is a key feature of their surveillance systems, providing enhanced capabilities for detecting and interpreting video data for security purposes.

These solutions use AI to analyze video feeds for a variety of applications. Maris-Tech’s intelligent video analytics solutions support a wide range of industries, including law enforcement and traffic management, by providing advanced analytics for surveillance and monitoring.

Surveillance systems that use intelligent video analysis to monitor and report on activities. Maris-Tech’s intelligent video surveillance products are designed to serve markets like defense, homeland security, and public safety with advanced monitoring capabilities.

L

Streaming with a minimized time delay. Maris-Tech’s low delay streaming capability ensures that their video and audio feeds are almost instantaneous, which is vital for any security or surveillance operation that relies on timely information.

Low latency refers to the minimal delay between the input into a system and the desired output. In Maris-Tech’s context, this relates to their ability to design and develop surveillance systems that can transmit video and audio with very little delay, which is crucial for real-time applications such as drones or autonomous vehicles.

Similar to the above, this focuses on live video feeds with minimal delay. Maris-Tech’s surveillance and communication systems that offer this capability are essential in scenarios where live, real-time video is necessary, such as law enforcement or public safety.

M

This refers to a service capable of handling multiple video streams simultaneously. Maris-Tech offers such a service as part of their surveillance and communication solutions, which would be beneficial for complex operations involving multiple video feeds.

U

This term takes low latency a step further, emphasizing the extremely minimal delay in video streaming. For Maris-Tech, ultra-low latency video streaming is a critical feature of their products for applications that require real-time video feedback without perceptible delay, such as in defense or homeland security operations.

V

The process of automatically analyzing video to detect and determine temporal events. Maris-Tech’s video content analysis capabilities are integral to its intelligent surveillance solutions, allowing for automated monitoring and alerting in security systems.