
"Two product lines from Autel, the EVO Lite Enterprise series and the EVO II Pro V3, feature real-time onboard AI processing for enhanced imaging, including low-light video optimization and automated subject detection, with AI operations running locally before footage is transmitted or even saved to storage."
"The FlyPix AI Platform integrates AI processing directly on devices at the moment of image or video capture. Using edge hardware like Nvidia Jetson modules, FlyPix can achieve sub-100 millisecond latency for live analytics, allowing immediate object recognition and event alerts."
"IntelliVision AI Video Analytics applies AI processing directly at the edge (in the camera or local network node) rather than relying solely on cloud or centralized servers, allowing for real-time analysis and immediate actionable alerts. This reduces latency, minimizes bandwidth use, and improves privacy by processing sensitive video data closer to its source, according to the company."
Multiple products place AI processing on or near capture devices to enable real-time imaging enhancements and analytics. Onboard AI in drones and cameras performs low-light optimization and automated subject detection before footage is transmitted or stored. Edge platforms like FlyPix use hardware such as Nvidia Jetson modules to achieve sub-100 millisecond latency for live analytics, enabling immediate object recognition and alerts. Edge video analytics reduces latency, lowers bandwidth use, and improves privacy by processing sensitive video data close to its source. Natural-language query capabilities can translate plain-text policies into instant video detections at capture time.
Read at Computerworld
Unable to calculate read time
Collection
[
|
...
]