Tady jsou další informace od vývojáře o tom, jaká data tato aplikace může shromažďovat a sdílet a jaké postupy ochrany soukromí může používat. Způsob nakládání s daty se může lišit podle verze aplikace, způsobu používání, oblasti a věku.
Chytrá základna, připojení až 16 kamer a 64 senzorů, pro chytrou domácnost Tapo, vestavěný mikrofon a reproduktor, detekce osob, zvířat a aut pomocí AI.
TL-WPA4220 KIT is perfect for providing 600 Mbps wired and 300 Mbps wireless transmissions over a home's existing electrical wiring, ideal for lag-free HD or 3D video streaming and online gaming.
Nakupujte levně Tp-Link Tapo RV20 Max Plus uklízecí robot sání 5300Pa mopování (Číslo výrobce - 8885020625219) na Allegro, za 5811.00CZK v kategorii Robotické vysavače. Číslo nabídky 17371364962.
Typ: bezpečnostní IP kamera Použití: vnější Napájení: adaptér Typ připojení: bezdrátové Max. rozlišení (DPI): 2880 × 1620 Typ záznamu: cloudové úložiště; paměťo...
Smart HomeBase; H500; Hub; Smart Home Ecosystem Center; Expandable Local Storage; AI Detection
Neobsahuje 52hhqcdmxjbvlp
How to migrate connected Tapo devices from old Tapo hub to the new oneIntroduction The migration function can help you move your devices from your old hub to your new hub. If you wish to make a device Migration, this FAQ article will be helpful to you. Requirements
Tapo Hub
Tapo devices that can be connected to the Tapo Hub
Make sure the firmware of the hub and device is updated to the latest version
Configuration Scenario 1: Migration of Sub-G devices Common Sub-G models include: Tapo C400S2, Tapo C420, Tapo D230, TD23, and Sensors, Sub-G Switches. Step 1: On the old hub interface, click the Device Settings icon > Migrate Connected Devices. Select the devices you wish to migrate and the new hub for migration. Step 2: After making your selection, click Migrate > Transfer to confirm the start of the migration. Then wait patiently, the migration will be completed in about half a minute. Do not reboot or upgrade the hub while migrating devices. Step 3: After the migration is completed, you will be able to see your devices in the new hub, and this device will also disappear from the old hub. Scenario 2: Migration of Wi-Fi Camera The migration of the Wi-Fi Camera can be achieved through the Connect existing Devices function of the hub. You can migrate the local Wi-Fi Camera to the new hub more conveniently. The specific Migration methods vary among different hub models. Step 1: In the management interface of the new Tapo H500 hub, click Add a device > Connect Existing Devices, select the Wi-Fi Camera you wish to migrate, and then click Connect to migrate the Wi-Fi Camera to the new hub. In the management interface of the new Tapo H100/Tapo H110/Tapo H200 hub, click Connected Devices > Connect Existing Devices, select the Wi-Fi Camera you wish to migrate, and then click Connect to migrate the Wi-Fi Camera to the new hub. Step 2: Wait patiently, the connection will be completed in about half a minute. After the connection is completed, you will be able to see your devices in the new hub, and this device will also disappear from the old hub. Get to know more details of each function and configuration, please go to the Download Centerto download the manual of your product.Why cannot I receive the SMS verification code from Tapo app?Introduction Currently, the Tapo App supports registering a TP-Link ID with a mobile phone number to manage your Tapo devices. You can use your mobile phone number to retrieve your account password and perform two-factor authentication, etc. However, sometimes you may fail to receive the verification code or encounter other issues. The following are some troubleshooting suggestions. Requirement
Download the Tapo App by visiting the Google Play Store, the App Store, or by scanning the QR code.
Troubleshooting Scenario 1: Unable to Receive SMS Verification Code Step 1. Verify Phone Number and Country Code: Ensure the correct country/region code is selected and the mobile phone number is entered accurately. Step 2. Check Mobile Signal: Confirm your phone has a strong signal (at least two bars) and is not in airplane mode. Avoid locations with poor reception, such as elevators or basements. Step 3. Allow Time for Delivery: Due to potential network congestion, SMS delivery may be delayed. Wait 5-10 minutes before requesting a new code. Avoid repeatedly clicking "Get Verification Code," as this may trigger security measures. Step 4. Check Spam/Block Lists: Review your phone's spam filter, SMS blocking settings, and any third-party security apps to ensure that SMS messages from Tapo (often from a short number) are not being blocked. Step 5. Restart Your Phone: Restart your mobile phone and attempt to request the verification code again. Step 6. Contact Your Mobile Carrier: Contact your mobile service provider to verify that your SMS service is active and that you haven't blocked SMS messages from enterprise service providers or short numbers. Note: If you have recently ported your number, please wait a day or contact your carrier to confirm whether the SMS service has been restored. Scenario 2: Invalid or Unsupported Phone Number Message Step 1. Ensure that you have entered only numbers (such as -, space, brackets), and make sure that after selecting the correct country code, you do not enter "0" or the country code before the number. Step 2. Do not use network virtual numbers. To ensure account security, Tapo may not currently support the registration of some virtual operator (VoIP) numbers. Note: If you really can't register with your mobile phone number, we recommend registering with your email address first. QA Q1: What should I do if the above troubleshooting doesn't work? A1: If you are still unable to receive the verification code after following the above suggestions, please contact TP-Link technical support and provide the following information: your country or region, mobile phone number, the version of the Tapo app you are using, your phone model and system version, the troubleshooting steps you have already completed, and the app logs for further analysis.How to optimize facial recognition performance of Tapo Security DeviceFacial recognition is a powerful tool that adds a new layer of intelligence and convenience to your home security. By optimizing your camera's setup and understanding its capabilities, you can significantly enhance its ability to correctly identify familiar faces and alert you to strangers. Optimize camera placement The physical placement of your camera is the foundation for effective facial recognition. It is crucial to angle the camera so it captures approaching individuals head-on, with a tilt angle of no more than 30 degrees. Avoid side-view angles, as they provide fewer facial details. Provide adequate lighting, but avoid overexposure Lighting conditions play an equally critical role. The system works best with clear, well-lit images. You should avoid pointing the camera directly at a strong light source, like the morning or evening sun, as this backlighting can make faces appear as dark silhouettes. For nighttime recognition, please avoid placing the camera near surfaces such as walls, eaves, or dense foliage. These surfaces can reflect the camera's built-in infrared (IR) light, causing glare and overexposure. This forces the background to darken, making it difficult to recognize faces in the distance. An unobstructed view is key to clear night vision performance. Understand recognition limitations Facial recognition is most effective at a distance of 2-3 meters (7-10 feet), although devices with higher resolution can often detect faces from further away. Please be aware that recognition can be challenging if a face is partially obscured by a mask or hat. Success is also less likely if a person moves too quickly, does not face the camera, or works during poor weather conditions, such as heavy rain or strong lens flare. Keep software updated Finally, to ensure you benefit from our latest advancements, please ensure that your camera/doorbell/hub's firmware is always updated to the latest version. We regularly release software improvements that refine our algorithms and enhance the performance of features like facial recognition.