To develop an embedded IoT system for local network monitoring, analyzing network metrics, and evaluating SIP phone quality. Utilize sensors to collect data, process it using embedded systems, and send outcomes to a central server. Employ tailored software for comprehensive analysis, aiming to enhance network performance and ensure superior call quality.
This functionality is crafted to pinpoint potential concerns or essential network refinements prior to the introduction of new VoIP services. The evaluation is conducted via a specialized IoT device named Reply Sidekick.
The solution enables retrospective troubleshooting of previous VoIP calls, aiding in identifying and analyzing issues for ongoing call quality enhancement. Moreover, it empowers IT teams to promptly address on-premises SIP phone problems, sustaining consistent call quality and overall network efficiency.
The system provides prompt notifications and up-to-date reports encompassing aspects such as site availability, device registration, call quality, and firewall conformity. This data is easily reachable through the user's handheld device, facilitating swift responses to network issues and remote access to on-site network diagnostics.
This feature enables smooth transitioning of on-prem SIP phone services from one provider to another. It streamlines the migration process, ensuring minimal disruptions and preserving the quality of communication during the transition.