Weatherproof TTL Serial JPEG Camera with NTSC Video and IR LEDs

via Adafruit
$124.00
SKU AF-613

We can get 100 units in Australia from Adafruit. If you order today, we can dispatch this stock between Apr 25, 2021 - Apr 28, 2021.

This weatherproof camera module is a classy upgrade to the basic camera module we already stock in the shop. The main differences is that this one comes in a nice metal case with a mounting hinge, a 1 meter long cable with the TTL & NTSC signals brought out, and it has an automatic IR LED system for night time photos. When the onboard photo-cell detects that it is too dark for the camera to take a photo, it turns on a ring of 12 IR LEDs that illuminate the nearby area for night-vision shots.

This camera was designed to be used in security systems and does two main things - it outputs NTSC video and can take snapshots of that video and transmit them over the TTL serial link. You can snap pictures at 640x480, 320x240 or 160x120 and they're pre-compressed JPEG images which makes them nice and small and easy to store on an SD card. Perfect for a data-logging, security, or photography project.

One nice thing about this particular camera is all the 'extras' that come with it. For example it has manually adjustable focus, auto-white-balance, auto-brightness and auto-contrast taken care of for you as well as motion detection built in! That means you can have it alert your project when something moved in the frame.

Using the module is pretty easy and only requires two digital pins (or a TTL serial port) - by default it transmits at 38400 baud. Of course we wouldn't just leave you with a datasheet and a 'good luck', we even spent a lot of time researching the module and DSP to make really nice libraries for both Arduino & CircuitPython, with example code that shows how to change the image size and compression quality, detect motion, control the video output stream, etc. That and more is available in our very detailed tutorial that will help get the most use out of your camera.


Example photo 1 (outside street) & example photo 2 (inside person)