We can watch the lengthy printing process for you. You will be alerted when attention is needed or simply let AI decide the next step.
Cloud 3D Print monitors through AI-Integrated cameras around your 3D printers. Our powerful calculation engine, backed by a robust deep learning model, is programmed to detect general printing errors such as spaghetti failure.
Say goodbye to half-printed parts and wasted filament. Save time and money with our AEye Assistant.
Easy to set up and use, preventing damage before it happens.
Save the amount of time and filament you would have wasted.
Start, stop and pause prints, and receive notification from anywhere when the failure occurs.
Access your printer safely through Cloud 3D Print’s secure network.
Get a better printing success rate with SmartEye assistance.
AEye Assistant is compatible with any popular webcams on the market.
AEye Assistant live streams the progress so that you can stay updated.
AEye Assistant continuously learns and improves through community use.
Print progress (%): 72%
Elapsed time: 3 hrs 7 mins
Current layer: 442
Severity level: High
Severity Degree: 68%
Nozzle / Bed Temp: 205 °C / 60 °CPrint progress (%): 46%Elapsed time: 3 hrs 23 minsCurrent layer: 581Severity level: HighSeverity Degree: 78%Nozzle / Bed Temp: 200 °C / 55 °CPrint progress (%): 82%Elapsed time: 2 hrs 5 minsCurrent layer: 128Severity level: HighSeverity Degree: 78%Nozzle / Bed Temp: 210 C / 50 CPrint progress (%): 88%Elapsed time: 4 hrs 15 minsCurrent layer: 518Severity level: HighSeverity Degree: 72%Nozzle / Bed Temp: 215 °C / 50 °CPrint progress (%): 22%Elapsed time: 1 hr 45 minsCurrent layer: 97Severity level: HighSeverity Degree: 85%Nozzle / Bed Temp: 200 °C / 60 °CPrint progress (%): 78%Elapsed time: 1 hr 12 minsCurrent layer: 468Severity level: HighSeverity Degree: 68%Nozzle / Bed Temp: 205 °C / 55 °CPrint progress (%): 72%Elapsed time: 3 hrs 7 minsCurrent layer: 442Severity level: HighSeverity Degree: 68%Nozzle / Bed Temp: 205 °C / 60 °CPrint progress (%): 46%Elapsed time: 3 hrs 23 minsCurrent layer: 581Severity level: HighSeverity Degree: 78%Nozzle / Bed Temp: 200 °C / 55 °CPrint progress (%): 82%Elapsed time: 2 hrs 5 minsCurrent layer: 128Severity level: HighSeverity Degree: 78%Nozzle / Bed Temp: 210 C / 50 CPrint progress (%): 88%Elapsed time: 4 hrs 15 minsCurrent layer: 518Severity level: HighSeverity Degree: 72%Nozzle / Bed Temp: 215 °C / 50 °CPrint progress (%): 22%Elapsed time: 1 hr 45 minsCurrent layer: 97Severity level: HighSeverity Degree: 85%Nozzle / Bed Temp: 200 °C / 60 °CPrint progress (%): 78%Elapsed time: 1 hr 12 minsCurrent layer: 468Severity level: HighSeverity Degree: 68%Nozzle / Bed Temp: 205 °C / 55 °CThe AEye Assistant is working like a human that monitors the printer. The camera acts as the human eye and watches your printer. The AI program on the server acts as a brain and analyzes the printing process. It will alter you when an error occurs.
Set the printer on a table with enough light.
Connect a camera targeting to the printing bed so that the printed part will be in frame.
Connect the camera to Cloud 3D Print, and AEye Assistant will take care of your printing.
Enjoy
Set the printer on a table with enough light.
Connect a camera targeting to the printing bed so that the printed part will be in frame.
Connect the camera to Cloud 3D Print, and AEye Assistant will take care of your printing.
Enjoy
Any camera is sufficient that can provide a non-blurry image. For example, Logitech C270 or C920 cameras work well.
We recommend you use a light source at least. Use a lamp light if the ceiling light is off. Another way could be putting the LED strip around the printer to create even light sources from all directions. It helps diffuse the light and reduce glaring.
Avoid the common false detection items. Items such as
(1) scraps on or near the bed. Clean printing bed preferred.
(2) spiral-shaped leaves or branches from a flower vase,
(3) wires or reflection of extruder on the glass bed,
(4) the logo of Ender on their printing bed.
Moreover, providing reasonable AI sensitivity in the settings. Recommended AI sensitivity is 2~10%.
(1) Please attach the camera with the printing bed. This setup helps get images from a fixed point of view. It reduces motion blur since the camera has no relative movement with the printing object. (2) The camera can also be placed at the corner of the printer. It is recommended to mount cameras on the frame of the printer.
By fine-tuning your AI sensitivity value, you can control when you want to pause the printer based on the amount of failure found in the printer. The AI sensitivity refers to the accumulative amount of spaghetti found in the snapshot. AI sensitivity is proportional to the size of spaghetti found in live streaming videos. If you choose higher AI sensitivity (6%-8%), you will be notified to pause your printer when the AEye Assistant sees a large amount of spaghetti in the scene. If you prefer lower AI sensitivity (2%-3%), AEye Assistant will inform you once a small amount of spaghetti is detected in the surveillance video. Please fine-tune the best AI sensitivity value for your printer.
The first option is to provide sufficient light. The more clear the video streaming offers, the better accuracy the AI detects. The second option is to adjust the AI sensitivity to a higher value. This setting will give the AI more redundancy for the false alarm.
The solution is to change the camera location to help focus on the print objects to get better detection results. Another solution is to adjust sufficient backlights to obtain clear printing footage.
The best viewpoint is to put the camera target to the printing bed and provide plain background as much as possible. Also, make sure the printing bed is clean before the printing (NO scrap filaments, loose wire, etc.). Make sure to keep a reasonable distance from the extruder.
Using a simple lamp is very effective. Also, the LED strip mounted on the top facing toward the printing bed is recommended, and this setup generates no backlight. The recommended way is to move the light and camera to the same side to avoid the shadows.
The reasons for false detections could be wrong camera location, poor lighting setup, unfocused images (any or all of these three). Approaches to improve the detection are given in the following: (1) Find optimal camera location for AEye Assistant. (2) Position the webcam so that the printing area fills the whole camera view. (3) Remove backlights as much as possible. (4) Use an auto-focus camera to avoid unfocused images if possible.