Frequently Asked Questions About Campus Broadcasting, Conferences, and AI

In addition to downlink playback, two-way campus broadcasting adds voice return, intercom, or conference access for nodes equipped with sound pickup, uplink encoding, and authorization configuration. This solution plans to coordinate broadcasting, local wireless amplification in classrooms, and conference scheduling; speakers that can only play audio will not automatically gain sound pickup or conferencing capabilities as a result.

No. This section includes five series: TP-DS, TP-DN, TP-DW, TP-DC, and TP-DA, among which 42 are newly planned models, while TP-CTS serves as a compatibility reference for existing products. The functions and numerical specifications of the planned models all require testing. The images are for appearance reference of existing products only and do not represent the actual appearance of the new models or constitute proof of market launch.

No. The description of built-in local wireless amplification applies to classroom nodes configured with a matching receiver module; TP-DW01 or TP-DW02 and matching microphones such as TP-DW04 are planned as options. Gateways, decoders, charging cases, cameras, etc. cannot independently provide this capability; backhaul and conferencing also require verification of uplink, audio pickup, and platform compatibility.

Must be verified separately. When power supply and wireless pairing are normal, classroom nodes with independent local links can be planned to retain wireless amplification; bell ringing requires terminal caching, issued tasks, and correct time. Network meetings, cross-campus, and cloud AI may be interrupted; during a power outage, backup power covering the complete link is also required.

No. Only when ASR, MT, TTS, LLM, the knowledge base, logs, and backups are all located on campus and local inference is completed, and external model APIs, external telemetry, and other data egress channels are disabled and the configuration has been verified, may it be stated that the relevant business data is processed on campus and not transmitted externally; a local server or local gateway by itself cannot prove that data does not leave the campus. Cloud-based recognition, model APIs, logs, backups, or failover to the cloud may all cause external transmission, and each must be verified item by item, with the corresponding notification, authorization, and compliance assessment completed.

Full-day audio recording should not be a prerequisite for system operation, and monitoring must not be deployed in highly private spaces such as restrooms, changing rooms, or dormitory bedrooms. Collection in teaching or public areas must have clear necessity, a lawful basis, notification, applicable authorization, and limited retention; where minors are involved, corresponding requirements such as guardian consent must be fulfilled. Safety incident alerts can only serve as auxiliary prompts and must be manually verified; they must not automatically determine that bullying has occurred.

Cannot be adopted directly by default. Translation, recognition, and generation may be affected by noise, language, models, and samples. Teachers or designated personnel should verify the content, score suggestions, attribution of remarks, and meeting decisions, and retain error correction and manual review; automated results should not be used as the sole basis for student disciplinary action, school advancement, or teacher evaluation, and sensitive content should not be published directly without review.