Imago Visioncam 2021 Jun 2026

: Gigabit Ethernet and opto-isolated digital inputs/outputs for direct machine communication.

: Equipped with a 5 Megapixel (2560 x 1936) CMOS sensor using a global shutter, capable of up to 65 fps at full resolution. Deep Learning Engine : Features an integrated Google Edge TPU

The Vision Cam AI.go Go to product viewer dialog for this item. imago visioncam 2021

between the 2021 AI.go and the current XM2 model to see if the upgrade is worth it? Vision Cam AI: Smart Deep Learning Camera - IMAGO

: Designed with vibration-resistant housing, temperature-stable electronics, and a secure C-mount lens connector. between the 2021 AI

Intuitive HMI (Human Machine Interface) via a web browser. Storage: 1x SD Card with a capacity of ≥32is greater than or equal to 32 GB for data storage.

All learning and processing happen on the device . You don't need a powerful GPU computer on the side, and you don't have to send sensitive data to the cloud. Storage: 1x SD Card with a capacity of

, supporting real-time inference with TensorFlow Lite and AutoML Vision Edge frameworks. Ease of Use

The IMAGO VisionCam 2021 series features specialized industrial smart cameras focused on event-based sensing, AI-driven defect detection, and high-performance edge computing for automation. Key 2021 models include the event-based VisionCam EB with 200 µs latency, the AI-focused VisionCam AI.go with Google Edge TPU, and the robust VisionCam XM for real-time fieldbus applications. For complete technical specifications, visit IMAGO Technologies . VisionCam XM – Your Personal Vision Sensor.

: Ideal for tasks like defect detection, anomaly spotting, and verifying correct assembly (e.g., ensuring chocolates are correctly placed in a box). Object Classification

| 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 |