Why? Because it predicted a trend. In a world of generative AI images (Midjourney, DALL-E 3) and infinite smartphone storage, the VisionCam 2021 stands as a physical protest.
: The camera processes everything locally—no expensive GPU computers or sensitive cloud uploads are required.
| Feature / Model | Vision Cam AI (2021) | Vision Cam AI.go (2021) | Vision Cam EB (2021) | VisionCam XM (2021) | | :--- | :--- | :--- | :--- | :--- | | | Deep Learning, Google Edge TPU | Deep Learning (pre-trained) | Event-Based Vision | High-Performance Embedded Computing | | Processor | Quad-Core ARM + Google Coral TPU | Embedded CPU | ARM Cortex-A15 | Dual-Core ARM Cortex-A15 @1.5 GHz| | Sensor Type | 5MP CMOS Area Scan | CMOS Area Scan | Prophesee EVS (Event-Based) | Area Scan (CMOS) or Line Scan | | Target User | AI Developers & Engineers | Non-Programmers, Operators | OEMs, Integrators for high-speed tasks | All-purpose, Developers, Integrators | | Key Use Cases | Custom defect detection, code reading | "Plug-and-Inspect" for presence, completeness | Vibration monitoring, high-speed counting, kinematic analysis | Quality inspection, process control, general machine vision | | Operating System | Embedded Linux | Embedded Linux | Linux-based | Debian-based Linux | | Interfaces | GigE, I/Os, SDK | 2 Inputs, 4 Outputs (24VDC) | GigE, RS-232, Opto-isolated I/Os | GigE, Digital I/Os |
A core component of the Imago ecosystem during this period is the software platform. This framework allows for: Live View: Monitoring the image acquisition process. imago visioncam 2021
Announced in May 2021, the is a powerful, freely programmable AI camera combining a 5 MP smart area-scan camera with a Google Coral Processor (Edge TPU) . It supports TensorFlow Lite and AutoML Vision Edge , making it ideal for tasks like pattern recognition, classification, anomaly detection, and code reading. Using the provided SDK and example programs, developers can focus on their solution's logic rather than basic hardware setup.
All models are designed for the factory floor, featuring industrial-grade housings, a wide power supply range, and flexible I/O for easy integration into existing systems.
The "VisionCam" concept is central to IMAGO Technologies' mission to deliver compact, intelligent, embedded vision systems. By integrating a high-performance processor, industrial-grade image sensors, and comprehensive I/O capabilities into a single housing, the VisionCam eliminates the need for bulky external computers. In 2021, this philosophy manifested in four primary variants, each tailored to different industrial tasks: : The camera processes everything locally—no expensive GPU
Inference and training occur directly on the device, meaning no sensitive data is sent to the cloud and no external GPU computer is required.
: Embedded system utilizing multi-core processing coupled with a dedicated hardware deep learning accelerator.
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. Announced in May 2021, the is a powerful,
| Series | Core Technology | Key Application | Target User | | :--- | :--- | :--- | :--- | | | Event-Based Sensor | High-speed motion, vibration analysis | OEMs, Integrators | | Vision Cam AI | Google Coral Edge TPU | Pattern recognition, defect detection | Experienced developers | | Vision Cam AI.go | Embedded Deep Learning | 2-5 class object classification | Non-programmers, end-users | | Vision Cam XM2 | NVIDIA Jetson Orin | Quality inspection, process control | Machine builders, OEMs |
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.