Imago Visioncam 2021 [upd] < Authentic • 2024 >

: Integrates into picking arms to verify object alignment and orientation on the fly. Vision Cam AI: Smart Deep Learning Camera - IMAGO

The specialized hardware approach shifted this workflow to the edge. By combining a high-dynamic CMOS sensor, a dedicated processor, and real-time communication interfaces inside a rugged, compact housing, the hardware operates independently of an external industrial PC. It processes raw visual data directly at the production line, drastically lowering data latency, minimizing network bandwidth load, and protecting sensitive manufacturing data by keeping imagery on-device. imago visioncam 2021

Historically, industrial automation required dedicated vision engineers to write rigid, rule-based algorithms to classify defects. If an object possessed natural variations—such as organic food products, brushed metal reflections, or pliable packaging—traditional programming often failed. : Integrates into picking arms to verify object

: Designed with robust, temperature-stable housing built for round-the-clock assembly line operation. Core Specifications It processes raw visual data directly at the

Both the Vision Cam AI and AI.go share a core set of technical specifications. The sensor is a with a resolution of 2560 x 1936 pixels (5 MP) and a pixel size of 2.8 µm running at 65 fps at full resolution. Both use a C-Mount lens and support 2 digital inputs and 4 digital outputs . The cameras require a 24 VDC power supply at 0.5 A and have compact dimensions of 50 × 85 × 50 mm and a weight of 370 g .

: Because images never leave the camera housing during training or inference, factories are guaranteed 100% data security and protection of proprietary part designs. 🧠 Software Democratization: The "AI.go" Concept

The Imago VisionCam 2021 offers numerous benefits to industries that rely on visual inspection and quality control. Some of the key advantages of this camera system include: