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ESP32 CAM Arduino Kits Monitor Snapshot Face Detection Recognition WiFi Bluetooth Camera Module with 128M SD Card USB to Serial Cable HC-SR501 Sound Sensor Compatible for Arduino IDE(Tutorial)

Product Features:

    Important Notice: ⭐Kits designed for Arduino IDE,designed only for Windows OS ⭐The ESP 32-CAM firmware has been burned. All components have been soldered ⭐Tutorial:Document,Demo Code,and Necessary Class Libraries.URL link label is pasted at the bottom of packaging box.Or contact us on Amazon,we will Reply on: ET: 21:00 PM -…
Price as on: 2020-03-14 20:45:23
29.99   19.99

Product Description

Important Notice:
⭐Kits designed for Arduino IDE,designed only for Windows OS
⭐The ESP 32-CAM firmware has been burned. All components have been soldered
⭐Tutorial:Document,Demo Code,and Necessary Class Libraries.URL link label is pasted at the bottom of packaging box.Or contact us on Amazon,we will Reply on:
ET: 21:00 PM – 5:30 AM(Second Day)
PST: 18:00 PM – 2:30 AM(Second Day)

• ESP32-CAM can be widely used in various IoT applications. It is suitable for home smart devices, industrial wireless control, wireless monitoring, QR wireless identification, wireless positioning system signals and other IoT applications. It is an ideal solution for IoT applications
• The kit is completely developed with Arduino code and is perfect for Arduino learning starter.You also can extend more functions on this basis,for example: WAN remote network surveillance camera; capture pictures and upload to email, social network and other applications.etc

Tutorial Catalog:
1. Install “PL-2303 USB-to-Serial Driver”
2. Download Arduino IDE 1.8.4
3. Installing ESP32 in Arduino IDE
4. Setting Tool Parameters
5. Run CameraWebServer Example Code
6. Run ESP32_CAM_Infrared_Sound_Sensor Code
7. ESP32-CAM Home Assistant Integration

Note:
1. ESP32-CAM input power is at least 5V/2A, otherwise the image will unstable
2. The factory has the default firmware, no need to re-burn other firmware
3. ESP32-CAM capacity can be expanded up to 4GB
4. ESP32-CAM support for images WiFI upload

Package List:
1 x ESP32-CAM Module
1 x 2 Million Pixels Camera
1 x USB to TTL Serial Cable
1 x 128M SD Card
1 x HC-SR501 Infrared IR Sensor
1 x Sound Sesnsor
2 x BreadBoard
20 x Dupont Cable

Product Features

  • ✔️ESP32-CAM Arduino Kits: When someone approaches or there is noise,the kit wakes up,takes a candid photo,and the image is saved in the SD card.It’s a web camera,access camera streaming server on local network,with live image,face detection and face recognition functions(You can integrate it to Home Assistant).Program developed with Arduino IDE
  • ✔️【USB to TTL serial PL2303TA 3.2-feet USB2.0 cable】:connects devices with 3.3 V logic level UART signals interface to computer via USB port.Provides access to UART Tx,Rx,5V,GND.Compatible with Windows 2008/XP/Vista/7/8/10(32,64-bit).【128M Micro SD Card】:Size: 0.59x 0.43×0.04 in.Capacity:128M. Read/Write Speed:18M/5M(s).Computer needs connect a Micro SD Adapter to recognize it
  • ✔️Tutorial:Document,demo code,drive software,necessary class libraries.Download link label is pasted at the bottom of the packaging box.or contact us when you receive the goods,we will send download Link to you again
  • ✔️【ESP32-CAM】:with 2 Million Pixels built-in flash Camera and SD card slot is WIFI&Bluetooth 4.2 dual-mode development board,PCB on-board antennas and cores based on ESP32 chips.It used as master mode to build independent network controller,or as a slave to other hosts MCUs to add networking capabilities to existing devices.Suitable for home smart devices,industrial wireless control,wireless monitoring,QR wireless identification,wireless positioning system signals,and other IoT applications
  • ✔️【HC-SR501】:When someone approach human infrared PIR body sensor,output range High,when people leave,output Low.Not repeat/repeatable 2 trigger mode.Sensitivity and Time Delay is adjustable.Sensing Angle <100°.【Sound Sensor】: built-in capacitive electret microphone.can identify presence or absence of sound.When sound intensity exceed a certain threshold, output low signal light Off, Otherwise output High light On.Turn the spin button on the sensor board adjust the sensitivity