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Today’s Challenge: Raspberry Pi Print And Scan server



Following the guide was going well until it came to running the scanimage -L command where I just got an error saying no scanners were identified. Not so good ? A bit of research suggested not all printers are compatible with SANE but a lot of HP ones are via the HPLIP driver library:


Over the past year the PyImageSearch blog has had a lot of popular blog posts. Using k-means clustering to find the dominant colors in an image was (and still is) hugely popular. One of my personal favorites, building a kick-ass mobile document scanner has been the most popular PyImageSearch article for months. And the first (big) tutorial I ever wrote, Hobbits and Histograms, an article on building a simple image search engine, still gets a lot of hits today.




Today’s challenge: Raspberry Pi print and scan server



InPrimo is an application that allows a user to scan an object using their iOS device (faceID enabled) and print it wirelessly with impressive detail. Users can replicate hand-made models, artwork, and machine parts. 3D scanning circumvents the long hours required to build 3D models from scratch in computer software, and users have the freedom to scan their own models, or choose from a large database of premade 3-D scans. The wireless automated conversions and slicing reduces steps preformed manually, reducing preparation time by 85%, (calculated based on average prep times).


Our app was built in python and swift. We have used almost every library we could think of to build the database server, application, and 3D printing interface. Our application communicates with a server via the http protocol and sends encoded files from our app to the server to be processed into 3D printable .gcode files and are passed to the printer for printing! We built our client app in swift and used a recently developed library for processing lidar information from the new TrueDepth sensor on the iPhone X using AI computer vision. We then handled the clients request through a VM django server which processes our file into a 3D printable .stl file using 3D Matrix transformation algorithms. Finally, the file is sent to the 3D printer.


Another thing that we learned about is the file conversion is necessary for sending our scan from the phone to a server. We learned that our 3D Models needed to be convert to a Binary Array, so we created functions to encode and decode a PLY and STL file. We have added the expandability in our code to convert to USDZ as well to enable viewing in augmented reality.


With our back-end server completed and our app finished up, we just need to know how to wirelessly send this converted STL file to a 3D Printer. In order to accomplish this we leveraged a Raspberry Pi running OctoPrint connected to a 3D Printer hosting a service which employed a server to remotely slice and print jobs. So we needed to learn how to send a STL file from our Django server to upon the request of a mobile app user, to OctiPrint.


Even though this whole process had a steep learning curve, we all gained a lot from this experience and it was a gratifying to have a fully functional system that is able to scan an object, 3d print it, and view it in augmented reality.


In archaeology, the scanning of artifacts to create reproducible 3D printed versions or for archiving and curating is one of the major uses within this industry. 3D scanning enables every form of culture heritage to be classified, measured, analysed and even shared amongst the researcher community.


The solution is to scan your network and look for the camera server(s). There are a number of ways of doing this and with some operating systems you can even use the file manager. But a much easier method is to use an IP Port Scanner, a piece of software specifically designed for this purpose.


I have an older printer - HP Photosmart C4400 that is USB only. So, I installed CUPS on my raspberry Pi, and I can print a test page to it by going to _address:631/printers/printer_name Opens a new window Opens a new window and doing the test page. Great - awesome.


BUT, once you get it working with your Pi, I would recommend is that you jspend the $40 USD and pick up a usb print server it will be worth the spend. -LINK-TL-PS310U-Single-USB20/?cm_mmc=PLA-_-Google-_-P... Opens a new window Opens a new window


So I tried a valid username / password combination for an account on my CUPS machine (a raspberry pi) in the shared printer pathname in the add printer dialog box. Eventually I found the following combination worked:


1) Find the IP address of the print server on the network by accessing connected device report on the network router. I made the print server a dedicated IP address so even if the power cycles, these settings are static. The IP address of the print server is 10.0.0.132


If the ESP32-CAM is printing the IP address in your Arduino IDE Serial Monitor, but when you try to open the web server in your web browser you see a blank screen, it usually means that you are trying to access the ESP32-CAM web server with multiple web browser tabs.


Once you have credentials to connect to the MySQL server, you will want to pivot from recon mode to attack mode. This means you'll be using different exploits from metasploit. Whereas the initial exploit was a scanner, the subsequent exploits will be admin exploits.


The log shows a question is asked about the Plex media server list (plexmediaserver.list), just choose the default N. When we see "Installation successful", we know that the installation was successful. At this point, the Plex streaming service is up and running. Invoking the Nmap scan again from the macOS side, we find that TCP port 32400 for Plex service is open. 2ff7e9595c


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