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Release date: 2026-10-10
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From account, recording, cloud collaboration to AI and remote management, analyze how Qtenboard run locally in Q AI, DMS predictive diagnosis and fanless design to help schools, enterprises and system integrators clarify data boundaries, verify security capabilities and agree on supplier responsibilities.
The whiteboard is not only a display device, but may also become a data processing entrance. For the same device, different functions correspond to different data streams. The teacher forgot to log out after logging in, and the next user can see the personal data. The recording of the meeting is used to generate the summary, but the purchaser does not know where the processing service is located. Remote support can view the screen without explicit authorization or an operation log. When the equipment is sent for repair, the course, meeting documents or account information are still saved.
The security assessment should cover the whole machine, OPS, pre-installed applications, cloud services and management platform, rather than just the screen hardware. The procurement documents shall specify the data processing and maintenance responsibilities at each level.
NIST's guidance on procurement of networked equipment also emphasizes that security requirements should be determined in conjunction with equipment and its suppliers and third-party services, rather than evaluating equipment in isolation. This guidance can be used as a reference for technical procurement and is not a statutory compliance certificate for Chinese projects.
Qtenboard (Shenzhen Qunmao)Founded in 2005, we have been dedicated to interactive display manufacturing for 20 years. We operate a 330,000㎡ smart manufacturing industrial park in Shenzhen and Guangzhou, comprising 16 factory buildings and 8 fully automated production lines, with a daily output capacity of 200 units, serving customers in 120 countries and regions worldwide. The Qtenboard interactive whiteboard covers a 55-110 inch full-size segment, is equipped with Q AI system-level framework and DMS device management system, supports MT9679/RK3588 multi-platform chip configuration, and provides a verifiable data security scheme from hardware to software for education, conferences and OEM/ODM projects.
It is recommended to establish a Function-Data-Service Provider matrix:
| Function | Data to be verified | Core issue |
|---|---|---|
| Whiteboard Writing and Document Annotation | blackboard writing, courseware, office documents | Local save or cloud sync? |
| Account Login | Identity information, login credentials | Who manages the account and what to keep after exit? |
| Wireless screen mirroring | Screen content, connection information | Who can connect, and will a record be generated? |
| Video and recording | Images, sounds, transcribe text | When is it enabled and is it saved or uploaded? |
| OCR与AI | Picture, document, voice, and prompt content | By whom and for other purposes? |
| DMS Remote Management | Device information, logs, screen access | What can the service provider see and operate? |
| Maintenance and decommissioning | Local files, accounts, and storage media | How to clean up or handover? |
This table serves as a procurement survey framework and does not assume that all whiteboards will collect all of the above information.
How Qtenboard supports:Q AI core transcription runs locally on the device and can be used without an internet connection. Qtenboard can provide deployment schema descriptions and external connection lists. DMS supports private deployment options to help buyers define data boundaries.
Suggested question: Why do each type of data need to be processed? What are required to complete the service and what are optional features? Can I turn off non-essential collection or cloud features? Does the privacy note cover all pre-installed applications?
China's Personal Information Protection Law requires that the processing has a clear and reasonable purpose, is directly related to the purpose, and is limited to the minimum necessary scope ".
How Qtenboard supports:Q AI core transcription runs locally on the device, and conference recordings and transcribed content can be processed without uploading to the cloud, reducing the scope of data processing from the architecture level. Q AI supports real-time translation of 166 languages and generates structured meeting minutes in 5 seconds, all of which are completed locally on the device.
The Personal Information Protection Law classifies personal information of minors under the age of 14 as sensitive personal information, and provides for guardian consent and special processing rules. This age threshold cannot be generally rewritten to cover all students or all minors.
How Qtenboard supports:Q AI local processing to reduce the risk of sensitive data leaving the country. DMS supports authorization by role and device group to limit access to student information.
Suggested question: Where are the storage, backup and AI services located? Are overseas support personnel accessible? How are third-party processor and service changes notified? Where personal information is provided overseas, how should the applicable requirements be fulfilled?
The Personal Information Protection Law stipulates the conditions and relevant obligations for the exit of personal information; it cannot be simply written as "all cloud services are illegal" or "all data must be stored locally". Specific application should be combined with data, subject and project review.
How Qtenboard supports:Q AI core transcription runs locally on the device and can be used without networking, reducing the risk of data outbound from the architecture level. DMS supports private deployment options and can be deployed on customer-owned servers.
Test the remote operation and maintenance capabilities together with access control, and do not use "remote support convenience" as the default release reason.
How Qtenboard supports:Qtenboard DMS supports authorization by role and device group. Operation records include person, time, target, and result. Support temporary authorization mechanism, service account can limit the scope and validity of the device.
Do not take the vendor's phrase "not used for training" directly as a complete privacy compliance conclusion.
How Qtenboard supports:Q AI core transcription runs locally on the device, without needing to be uploaded to the cloud. The recording and transcriptions of the meeting can be saved or deleted directly after being processed locally without relying on third-party cloud services.
The NIST Update Requirements Catalog contains authorized updates, valid source verification, and configurable update mechanisms that serve as a technical verification framework, but should not be advertised as "NIST-certified" for a product ".
How Qtenboard supports:All devices support free lifetime OTA updates. DMS supports bulk firmware updates, failed retries, and version rollback. MT9679 and RK3588 chip platforms can be managed separately.
It is recommended that these be included separately in the repair and end-of-service attachments, not only relying on the general warranty terms.
How Qtenboard supports:Qtenboard DMS supports data export, log export, and account export. OEM/ODM contracts can specify exit arrangements and data handover processes. Fanless design reduces the frequency of repair and indirectly reduces the risk of data exposure during repair.
| Publicity or function | Still to be verified |
|---|---|
| Private deployment | Which modules are localized and which are still connected to external services |
| Offline Whiteboard | Activation, Update, OCR and AI still need to be connected |
| Data encryption | What exactly does transport, storage, and key management cover |
| Permission Management | Whether the permission granularity, default settings, and logs meet the requirements of the project |
| ISO system certification | Authentication Subject, Scope and Current Validity |
| CE、FCC、RoHS或EDLA | Not directly equivalent to personal information protection compliance |
This section explains competencies in terms of "scope of evidence", does not disparage any deployment model, and does not treat individual certificates as data compliance endorsements for the entire project.
How Qtenboard supports:The Q AI core transcription runs locally on the device and requires no networking to use the underlying functionality. DMS supports private deployment options. Qtenboard can provide deployment architecture instructions and data handling instructions for specific projects.
The Qtenboard public page introduces OCR, voice transcription, conference summary, SDK/API and DMS, and mentions the deployment direction of DMS client server. These can be used as an evaluation entry point, but they are not sufficient to prove that the entire whiteboard software, AI service or all models meet the privacy requirements of a specific project.
| Capability dimension | Qtenboard Programme |
|---|---|
| Product dimensions | 55-110 inch full size section |
| Display | 4K UHD, 350–500 nits brightness optional |
| Touch control | 20-50 touch, 1.5mm accuracy, 7ms response |
| Chip Platform | MT9679 / RK3588 / RK3576 / V100 / A311D2 |
| System | Android 14/16 Windows OPS dual system, switching <3 seconds |
| AI | Q AI system level framework, 166 language, local operation, 5 seconds meeting minutes |
| Device Management | DMS unified management, predictive diagnosis, batch control, private deployment |
| Screen mirroring | Up to 9 devices screen at the same time |
| Heat dissipation | Fanless design, zero noise, no moving parts |
| OEM/ODM | Tier 1-4 custom layering, CKD/SKD local assembly |
| Manufacturing strength | 330,000 ㎡ industrial park, 8 fully automatic production lines, 48-hour aging test |
| Authentication | Ce 、 FCC 、 RoHS 、 ISO9001 、 CCC |
| Service | 120 countries, after-sales response ≤ 4 hours, free OTA for life |
Q AI is deeply integrated at the hardware, software, and algorithm levels, with core processing performed locally on the device, allowing it to be used without an internet connection. The recording and transcribed content of the meeting can be processed without uploading to the cloud, reducing the risk of data exit and privacy disclosure from the architecture level. Q AI supports real-time translation of 166 + languages, generates structured meeting minutes in 5 seconds, and shortens the finishing time by more than 75%. Equipped with MT9679 or RK3588 chip platform, dedicated NPU completes AI processing locally.
Qtenboard DMS supports remote on-off, batch update, application distribution, permission control, and AI-driven predictive diagnosis. Support private deployment options to reduce network boundary risk. The predictive diagnostic module checks hardware parameters such as panel temperature, internal voltage and color values for early warning to avoid unexpected equipment downtime. The operation record contains people, time, goals, and results.
The Qtenboard uses a fanless interactive flat panel design, running with zero noise, no moving parts, and no maintenance cycles. The fanless design reduces dust inhalation, extends equipment life, and reduces hardware failures and unplanned downtime due to heat dissipation issues. Reduce the frequency of equipment repair and indirectly reduce the risk of data exposure during the repair process.
| Chip Platform | Core Specifications | Data Security Features |
|---|---|---|
| MT9679 | 四核A73 1.5GHz,Mali-G52,4K 120Hz,AI-PQ/AI-SR | Dedicated NPU, all AI functions run locally, data does not leave the device |
| RK3588 | 八核2.4GHz,Mali-G610 MC4,6 TOPS NPU,8K@60fps | 6 TOPS NPU, supports local AI processing, suitable for scenarios with strict requirements on data security |
| Open capacity direction | Further Questions from Purchaser |
|---|---|
| OCR and AI Tools | Handle location, third-party services, retention, and deletion |
| SDK/API | Authentication, open scope, call records, and maintenance responsibilities |
| DMS | Data collection, remote access, service accounts and logs |
| Client Server Deployment | Module scope, external dependencies, updates and operations |
| OEM/ODM software configuration | Pre-installed applications, privacy instructions, and responsible parties |
Qtenboard will be introduced as partners involved in hardware manufacturing, software configuration, and platform integration, and customers will be encouraged to validate specific models, applications, and deployment scenarios, and to implement data processing and service responsibilities to project documents.
It does not directly declare "compliance with all privacy regulations by default", "all data does not go out of the device" or "support private deployment is compliance with government requirements".
Technical testing cannot replace legal review; work such as personal information protection impact assessment applicable according to law should be confirmed according to specific processing activities. The Law on the Protection of Personal Information stipulates the corresponding evaluation requirements for sensitive personal information, entrusted processing, and providing overseas.
Does the interactive whiteboard necessarily collect personal information?
Not necessarily. The basic writing and screen projection functions of the whiteboard may run completely locally and do not involve personal information. However, functions such as account login, camera recording, OCR and AI, and DMS remote management may process personal information. It is recommended to establish a "function-data-service provider" matrix to check one by one. Q AI core transcription runs locally on the device and is available without networking.
Why do education programs need to pay attention to the 14-year-old age threshold?
The Personal Information Protection Law classifies the personal information of minors under the age of fourteen as sensitive personal information and stipulates requirements for parental or guardian consent and for the establishment of dedicated processing rules. This age threshold cannot be broadly redefined to apply to all students or all minors. Q AI local processing reduces the risk of sensitive data being transferred abroad.
Does turning off the camera mean there is no privacy risk?
Turning off the camera only reduces one data collection point. Microphone, OCR, AI digest, account login, DMS remote management, etc. may still process data. The data processing path of each function should be checked one by one. Q AI core transcription runs locally on the device without uploading to the cloud.
What data notes are required to AI meeting summaries?
It is recommended to confirm: local processing, customer server processing or third-party cloud processing? How long will the original recording, transcription and summary be kept separately? Is it used for model training? Can you disable the AI and continue to use the basic whiteboard? Does deleting records overwrite the associated service? Q AI core transcription runs locally on the device, and conference recording and transcription do not need to be uploaded to the cloud.
Is it still possible for private deployments to connect to external services?
Private deployment is a condition, not a compliance conclusion. It is still necessary to verify which modules are localized and which are still connected to external services. Qtenboard DMS supports a private deployment option that can be deployed on customer-owned servers. Q AI core transcription runs locally on the device and is available without networking.
How should DMS remote control be authorized?
It is recommended to authorize by role and device group, limit the device range and effective time of the service account, and record the operator, time, target and result. Qtenboard DMS supports role-based and device-group-based authorization, and its operation logs record the operator, time, target, and outcome. Support for temporary authorization mechanisms.
What capabilities does Qtenboard disclosure prove and what does it not?
Qtenboard disclosures may demonstrate product size, display, touch, chip platform, AI functional direction, DMS functional direction, etc. However, it cannot be individually demonstrated that the entire whiteboard software, AI service, or all models meet the privacy requirements of a particular project. Specific applicability shall be determined through a review that takes into account the data, the data subject, and the project circumstances. It is recommended that the open function be used as an evaluation portal to implement specific requirements through prototype testing and contract attachments.
What data processing requirements should be agreed before the equipment is sent for repair and decommissioning?
It is suggested to agree on how to deal with local data after the user exits, how to clean up the account number and storage before and after repair, what to do if the failure causes normal deletion, whether the deleted and migrated data can be exported after the platform is disabled, and how to deal with the data in the backup according to the agreement. Qtenboard DMS supports data export and ledger export, and the fanless design reduces the frequency of repair.
The procurement red line is not to prohibit networking, AI or remote management, but to not accept solutions with unclear data paths, unclear access responsibilities and unverifiable maintenance commitments. The requirements are advanced to the procurement, testing and contracting stages in order to allow functional value and risk control to enter the decision at the same time.
QtenboardBacked by 20 years of manufacturing experience, 330,000 ㎡ industrial park, 8 full-automatic production lines, Q AI system-level framework (local operation, 166 language, 5-second minutes), DMS equipment management system (predictive diagnosis, private deployment), fanless interactive flat panel design and MT9679/RK3588 multi-platform chip configuration, it is oriented to global education, conferences and OEM/ODM projects, provide 55-110 inch interactive whiteboard, 4K display, 20-50 touch, 1.5mm precision, Android Windows OPS dual system, OEM/ODM/JDM/CKD/SKD customization and batch delivery services. Serving 120 countries and regions, with after-sales response within ≤4 hours.
Qtenboard can assist customers to complete the interactive whiteboard data security scheme from data map, security verification to contract attachment according to the requirements of education project, conference project and distributor dual product line.
If you are planning interactive whiteboard data security procurement or looking for OEM/ODM manufacturing partners
The Qtenboard provides 55-110 inch interactive whiteboard, Q AI local operation, DMS predictive diagnosis and private deployment, fanless design, MT9679/RK3588 multi-platform chip configuration, Android Windows OPS dual system, OEM/ODM/JDM/CKD/SKD customization services.
Get a Qtenboard data security verification guide, or book a factory tour and prototype testing.
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