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Edge computing early warning linkage terminal

NegotiableUpdate on 01/11
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Overview
Edge computing early warning linkage terminal is a highly integrated ARM architecture device, integrating multiple edge computing intelligent algorithms and applications such as target detection, target recognition, target tracking and alarm linkage. Support intelligent upgrading of existing cameras in traditional security systems to enhance their detection range and reduce false alarms; Support the intelligent linkage application of radar and optoelectronic devices, achieve the effective combination of "thousand mile eye" and "wind ear", smoothly upgrade from traditional security to smart security, and effectively enhance the practicality of the system.
Product Details

Edge computing early warning linkage terminalIt is a highly integrated ARM architecture device. It has rich control interfaces and expansion interfaces, adopting ROCKCHIP RK3588CPU, eight core 64 bit size core architecture. Having powerful computing and processing capabilities, embedded with multiple algorithm applications, the powerful computing power can be connected to multiple cameras. The recognition algorithms include area intrusion, facial recognition, human body recognition, license plate recognition, smoke and flame recognition, safety helmets, phone calls, smoking, work clothes, off-duty, sleeping, electric scooters, area intrusion, falls, running, occupation of fire exits, static discharge, debris accumulation, oil tankers, fire extinguishers, and dozens more. It can be applied to gas stations, chemical plants, smart communities, environmental protection, construction sites, factory areas, campuses, parks, scenic spots and other scenarios.

Product Features

◆ Reduce latency

Edge computing increases computing nodes, reduces the total amount of data traffic, and improves the performance of applications and services.

◆ Cost savings

The low power consumption and low bandwidth data processing and storage in edge devices reduce costs, thereby optimizing overall costs.

◆ Local computing power

Edge computing will deploy computing power in the nearest place to each operation logic in the network to improve the real-time processing capability of data. By combining edge devices and edge data centers, enterprises can effectively expand their capacity requirements at any time, with lower network bandwidth requirements for each additional device.

◆ Security guarantee

Compared with the centralized structure of cloud computing, the distributed structure of edge computing is less vulnerable to DDoS attacks and failures, which also makes it easier for attackers to penetrate the networkDifficulty and complexity. Edge computing can filter sensitive information at the edge side and select transmission data to meet security and compliance requirements.

Comprehensive compatibility and matching

Easy access to various networked command centers and independent control; We can provide SDK development packages to provide users with a secondary development foundation for deep applications.

Product features

◆ Device access

Edge computing early warning linkage terminalSupport multi-channel RTSP monitoring video stream access;

Intelligent recognition warning

branchHolding a human face, body, non motorized vehicle, motor vehicle, or license plate; Vehicle brand, color, model, license plate number; Falling, running, making phone calls, wearing a safety helmet, smoking, clothing color, clothing type; Cross border/regional invasion, gathering, wandering;

data reporting

Structured alarm images and alarm tracking video push notifications;

Offline work

Support offline system operation, network recovery alarm information feedback.