Sub-Millimeter Machine Vision & Defect Detection at Full Production Line Speed
Replace unreliable manual eye inspections with deterministic edge AI. Runs 100% air-gapped on NVIDIA Jetson or industrial IPCs, integrating directly with your factory cameras and PLC rejection solenoids in under 50 milliseconds.
Select a Manufacturing Quality Control Scenario
Explore how VisionInspect configures lighting, optic parameters, and rejection mechanisms for specific industrial parts.
Surface Scratches & Pinhole Burrs
Detects microscopic hairline scratches, surface porosity, and tooling burrs on machined aluminum, steel castings, and injection molded plastics.
Hardware & Integration Profile
From Camera Shutter to Solenoid Ejection in 45ms
Real-world industrial automation requires deterministic timing. Here is how our hardware stack delivers continuous factory operation.
Sensor Optical Trigger
Part presence triggers an optical retroreflective sensor or rotary encoder pulse, firing high-intensity strobe LEDs and the global shutter camera synchronously in microseconds.
GigE Image Acquisition
Image buffer is transferred directly to the edge computer via GigE Vision DMA without CPU throttling, ensuring zero dropped frames up to 60 parts per minute.
TensorRT Edge Inference
Custom fine-tuned YOLO / Segment Anything neural models compiled with FP16 TensorRT execute on onboard NVIDIA CUDA cores in 25-45ms, classifying defects.
PLC Ejector Actuation
If pass threshold fails, an instant 24V digital signal is triggered to the Siemens, Mitsubishi, or Allen-Bradley PLC to actuate the pneumatic reject cylinder.
Validate Your Parts Before Factory Deployment
Send us 20 sample parts (good and defective). We will image them in our Namakkal optical testing rig, train a prototype detection model, and demonstrate accuracy before you commit to any hardware.