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2MP IR Bullet Ethernet and WiFi Facial Recognition Camera With Local Video Recording


2MP IR Bullet Ethernet and WiFi Facial Recognition Camera With Local Video Recording

0.50 LBS
Calculated at checkout

Product Description

This metal wifi and ethernet can work day and night to capture the faces around your house and business. The faces will be clustered automatically and you can see that particular face show up how many times around your property and at what time. If you choose, you can also do a remote video view  from the your smartphone iOS or Android.


It has SD slot that can record video locally and can be viewed on percepcam app remotely. Plus, it works with LinkSprite NVR to record video on NVR also.





  • Support wireless and Ethernet  connection
  • P2P remote video view from mobile app
  • Support two-way voice
  •  With SD card slot, video can be stored in SD card(NOTE: SD card format only supports fat 32)
  • Built-in AI deep learning face recognition algorithm, support face detection, face tracking and scoring, pick the best face photo, and reduce the duplicated captures.
  • Support long range facial recognition, up to 40 faces can be detected and captured at the same time.
  • •Using the face recognition surveillance system, the efficiency is improved by more than 10,000 times! In a non-face recognition surveillance system, it may take hours or even dozens of hours to query an event person. However, only a few seconds are required in the face recognition surveillance system.
  • Mobile app named PercepCam


User Guide

How to add the facial recognition camera to PercepCam?

How to add the facial recognition camera to PercepCam

PercepCam system( support WEB application and mobile app.


How to view video remotely on your phone?

Download APP, the APP Name: PercepCam

Android: Download the Android APP from, the password is deepcam

IOS: Search for “PercepCam” in Apple Store

Install mobile APP 'PercepCam ', log in your account, click on 'Stores', select the camera you want to view, then click on 'Play', as shown below:




Technical Specifications





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