Imago Visioncam 2021

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Imago Visioncam 2021

: Instantly sorts complex objects and surfaces where defects are hard to formalize mathematically.

IMAGO's 2021 products were not theoretical. They were designed to solve real-world industrial problems. A use case for the Vision Cam AI.go demonstrated its ability to inspect coffee mugs on a production line, using AI-based anomaly detection to check for internal dirt and rule-based Halcon operators to measure circumference accurately. Similarly, in the pharmaceutical industry, the camera was used to inspect vials, enabling an operator with no AI or computer vision knowledge to acquire about 20 images per defect class and train a highly effective inspection model. The Vision Cam EB's event-based sensor unlocked high-speed tracking and vibration measurement, while the XM2's powerful AI acceleration enabled complex inline inspections.

: Designed for users to teach the camera by simply uploading example images for classification (2 to 5 classes). On-Device Learning imago visioncam 2021

: Operators show the camera roughly 30 sample images of a target object.

In May 2021, IMAGO introduced the Vision Cam AI, a 5-megapixel smart camera designed to bring deep learning capabilities directly to the production line. The key was integrating Google's Coral Edge TPU, a powerful AI accelerator capable of delivering up to 4 trillion operations per second. Paired with a quad-core ARM processor running Linux, the camera could execute models from TensorFlow Lite and AutoML Vision Edge independently, handling tasks like pattern recognition, defect detection, and code reading. : Instantly sorts complex objects and surfaces where

Although officially unveiled in early 2024, the Vision Cam XM2 was also a key part of the 2021 story. It represented a clear roadmap for the next generation of "Vision Cam" technology: consolidating all processing power into one ultra-compact unit.

No device is perfect, and the Visioncam 2021 had significant limitations that potential used buyers need to understand. A use case for the Vision Cam AI

Traditional machine vision systems rely on strict geometric rules and pixel-counting algorithms. They are highly effective for calculating exact dimensional metrics, but they consistently fail when checking objects with natural variations or complex surface anomalies. The Vision Cam 2021 model bridged this gap across multiple sectors: