Industrial Vision

Eagle AI

Co-designed CCTV computer vision hardware and software systems engineered to detect dynamic failure signatures on high-speed factory lines with sub-5ms local processing.

Defect CCTV
Scan Feed Simulator

Test how Eagle AI compiles computer vision models directly into FPGA hardware logic to highlight failures at 220+ FPS. Trigger mock anomalies below to test alarm latency.

Select Defect Trigger

Alarm Interlock StatusSYSTEM STABILIZED

All bearing nodes and assemblies are within baseline temperature limits.

Camera-Feed-DMA --Factory-Station-04

Machinery Status Nominal

NODE 04 (BEARING)OK

BELT-SECTION-06OK

REC

FPS Frame Rate220 FPS

Compute Latency4.2 ms

Confidence Rate99.8%

> telemetry --system=eagle-vision --fps=220

> Scanning conveyor belt... Active model compilation locked

Eagle AI Vision Stack

We design hardware cameras together with custom local computer vision parameter networks.

200+ FPS Local Processing

Compiling vision models directly into FPGA hardware logic to process camera frames under 5ms, avoiding expensive cloud trips.

Self-Training Failure Defect

Integrating automated failure models that learn structural defect shapes locally over time to prevent future plant downtime.

Air-Gapped Factory Loop

Isolating video data completely inside secure local hardware loops to protect corporate manufacturing intellectual property.

Initiate Industrial Vision Trial

Connect with our vision co-design lab to secure early hardware licenses or arrange custom factory calibration demos.