Hikvision eDVRs are digital video recorders that use eMMC storage. This type of storage is more reliable than traditional hard drives, but it is still possible to lose data from an eDVR. If you have lost data from your Hikvision eDVR, there are a few things you can do to try to recover it.
1. Use data recovery software. There are a number of data recovery software programs that can be used to recover lost data from eDVRs. These programs scan the eMMC storage for deleted or corrupted files and attempt to recover them. Some popular data recovery software programs include:
3. Prevent data loss in the future. To prevent data loss from happening in the future, you should make sure that you have a backup of your eDVR's data. You can either back up the data to an external hard drive or to the cloud.
Here are some additional tips for recovering data from a Hikvision eDVR:
1. Use data recovery software. There are a number of data recovery software programs that can be used to recover lost data from eDVRs. These programs scan the eMMC storage for deleted or corrupted files and attempt to recover them. Some popular data recovery software programs include:
- EaseUS Data Recovery Wizard
- Stellar Data Recovery
- Recoverit
- Disk Drill
3. Prevent data loss in the future. To prevent data loss from happening in the future, you should make sure that you have a backup of your eDVR's data. You can either back up the data to an external hard drive or to the cloud.
Here are some additional tips for recovering data from a Hikvision eDVR:
- Do not write any new data to the eMMC storage. This could overwrite the deleted or corrupted files and make them impossible to recover.
- If you are using data recovery software, do not scan the entire eMMC storage. This could take a long time and may not be necessary. Instead, scan the specific areas where the lost data is likely to be located.
- If you are contacting a data recovery service, be sure to provide them with as much information as possible about the lost data. This will help them to recover the data more quickly and efficiently.
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