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Manufacturing Automation in visual processes. Qualitas Technologies is a leader Machine Vision Solutions. It enables manufacturing industries to automate visual processes like Defect Detection, OCR, Assembly Inspection, Parts Counting, Inventory Tracking, Robotic Guidance and Object Detection/Recognition. In this presentation, you will see what problems can be solved by using vision system. Also how Qualitas Technologies has been successfully solved real world problem with AI and Machine Learning Integrated with Machine Vision.
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Print Verification and Reading on Pharma packaging Using AI And Deep Learning technology we’re able to read printed characters with 100% accuracy. Speed: 180 parts/min Technology Used: 2d Image Processing + Deep Learning OCR
High speed OCR inspection of Cigarette Label, ITC Bangalore It’s a high speed inspection of an OCR on a Cigarette packet which is running at the speed of 1000 pack/min. Every pack is laser marked with set of characters which consists of details like Production Plant, M.F.G, Batch Code, M.R.P etc.. and we achieved it using AI And Deep Learning technology. Speed: 1000 parts/min Accuracy: 100% Technology Used: 2d Image Processing + Deep Learning OCR
High speed Label Inspection Reading the OCR on chocolate labels which is rolling on a unwinder at a high speed. Using AI and DL we are able to read the data printed using CIJ Printer. Speed: 800 parts/min Accuracy: 100% Technology Used: 2d Image Processing + Deep Learning OCR
Inspection of Taper Roller Bearings Three cameras are positioned to capture images of tapered rollers moving in a conveyor. Images captured are processed for surface defects on the body as well as the end face. Rejected parts are pushed out of the conveyor using a electro mechanical rejection system. Speed: 180 parts/min Technology Used: 2d Image Processing + Conveying System with rejection
Piston Ring Counting A Camera Captures the image of the rings using specialised lighting and our robust vision system validates the count and the equivalent result is shown in the display. Technology Used: 2d Image Processing
Inspection of Internal Parts of Refrigerator 2 cameras that are capturing images of a refrigerator door and body are checking for the presence and position of internal parts (like shelves, manuals, cabinets, etc). If a part is found to be missing, it will interface with the conveyor to stop the assembly line. Speed: 12 parts/min Technology Used: 2d Image Processing + Artificial Intelligence
Inspection of Casted Components Using multiple area scan cameras and specialized lighting inspection of machined parts can be made using Artificial Intelligence software. Rejected parts are scrapped or reworked. Speed: 20 parts/min Technology Used: 2d Image Processing + Artificial Intelligence
Inspection of Primer on Auto Body Using 4 cameras, the body of an automobile is imaged after the robotic primer application. Artificial Intelligence software is used to identify miss-outs on the primer. Speed: 1 parts/min Technology Used: 2d Image Processing + Artificial Intelligence
Tare Weight Reading of LPG Cylinders Using a single camera mounted from the top and a wide angle lens, images are captured of the cylinder. Using Deep Learning technology we’re able to read the characters with a degree of accuracy nearing human accuracy levels. Speed: 40 parts/min Technology Used: 2d Image Processing + Deep Learning OCR
2-Wheeler Component Identification in Paint Shop ■2W parts hanging on a jig are sent to the paint shop ■Deep Learning software identifies which of the 1000+ component variants are on the jig and how many of those variants are present. ■Color support ■Data being sent to ERP for tracking jig utilization
SKU inspection for mix up, OCR and flap gap inspection ■Cycle time: 430ms ■AI based software identifies each of the variants for SKU mix up, flap gap inspection and character reading. ■Solution is also able detect and count slug at infeed bucket.