, a smart camera that brought Deep Learning directly to the factory floor without the complexity. What Makes the 2021 VisionCam AI.go Different? The core innovation of the Vision Cam AI.go Go to product viewer dialog for this item.
Industrial quality checks, such as verifying the correct contents in a box of chocolates or anomaly detection. Technical Specifications (Vision Cam AI.go / AI) Based on the Technical Data Sheets : Feature Specification Sensor CMOS Global Shutter (1/1.8" optical size) Resolution 2560 x 1936 pixels (5.0 MP) Frame Rate 53–65 fps at full resolution Accelerator Integrated Google Edge TPU for TensorFlow Lite Connectivity Ethernet 1000 Mbit/s (M12 8-pin), 2x In / 4x Out (24V) Storage 1x microSD card (≥ 32 GB) Mechanical
: The system excels at tasks that are difficult to formalize with traditional algorithms, such as
Providing real-time, 100% inspection of products on high-speed conveyors. imago visioncam 2021
Users can train the system by providing a set of sample images; it classifies objects into 2 to 5 classes completely on its own.
: Unlike typical consumer AI systems, both the training phase and the execution (inference phase) occur entirely inside the device housing.
Unlike older models that relied on a web browser, the 2021 update improved the onboard 5-inch touchscreen interface. This allowed operators to manage streaming bitrates, change shots, and monitor audio levels without a tablet. , a smart camera that brought Deep Learning
, supporting real-time inference with TensorFlow Lite and AutoML Vision Edge frameworks. Ease of Use
If you are looking for specific , datasheets , or purchasing options for these systems, I can help find the IMAGO Technologies product catalog or direct you to their support pages. Vision Cam AI.go | IMAGO Technologies
By embedding an industrial-grade image sensor, an onboarding processing unit, and a directly into a single compact housing, IMAGO solved a major problem: making deep learning accessible to non-programmers. Industrial quality checks, such as verifying the correct
Before 2021, deploying an AI-based vision solution required capturing thousands of raw images, exporting them to cloud databases, hiring data scientists to train custom convolutional neural networks (CNNs), and compiling specialized software for the target hardware. The VisionCam AI.go flattened this steep learning curve entirely.
The is not a good camera by traditional metrics. It is slow, expensive, fragile, and lacks versatility.