Vision Systems
See what the human eye can’t — consistently, at production speed.
Machine vision systems use cameras and image processing to inspect, identify, measure, and track — faster and more consistently than any human inspector. Persase designs and integrates vision systems using the right sensor technology for the application — whether that’s 2D cameras for surface inspection and part identification, infrared imaging for thermal analysis and non-visible defect detection, or dynamic tracking systems for moving parts and real-time process monitoring.
Persase vision system — automated inspection and measurement at production speed
What We Build
- 2D camera inspection systems — high-resolution camera systems for surface defect detection, part identification, barcode and label verification, dimensional measurement, and presence/absence checks — at production speed with consistent, repeatable results
- Infrared & thermal imaging systems — infrared cameras integrated into production or inspection processes to detect heat signatures, thermal anomalies, and defects invisible to standard cameras — including material voids, bonding failures, moisture, and electrical faults
- Dynamic tracking systems — vision systems that track moving parts, assemblies, or processes in real time — capturing data, triggering actions, and monitoring quality on parts that never stop moving
- Part identification & sorting — vision-guided systems that identify, classify, and sort parts by type, orientation, or condition — enabling automated downstream handling without manual intervention
- Robot-guided vision — vision systems integrated with robot arms to guide pick and place, assembly, and inspection operations — allowing the robot to locate, orient, and act on parts without fixed fixtures
- Custom integration & software — Persase handles the full system integration including camera selection, lighting design, mounting, processing hardware, and purpose-built software that delivers results in the format your process requires
Industries That Use This
| Industry | How they use it |
|---|---|
| Aerospace | Surface finish verification, assembly confirmation, and thermal inspection of bonded structures and composite components |
| Defense | Automated part identification, assembly verification, and thermal inspection of electronics and weapons system hardware |
| Manufacturing | Inline surface defect detection, part sorting, dimensional verification, and robot-guided handling at production speed |
| Engineering | Dynamic process monitoring, thermal analysis, and custom measurement systems for R&D, test, and validation programs |
the process
How It Works
Every vision system starts with a clear definition of what needs to be detected, measured, or tracked — and what the system needs to do with that information. The choice of sensor technology follows directly from the application. 2D cameras are the right choice for surface inspection, identification, and dimensional checks where the feature of interest is visible in standard light. Infrared cameras are the right choice when the feature of interest is thermal — a heat signature, a bonding void, a moisture pocket, or an electrical anomaly that standard cameras simply cannot see. Dynamic tracking systems are designed around moving targets — parts on a conveyor, assemblies in motion, or processes that can’t be paused for inspection.
Once the sensor technology is selected, Persase designs the full system around the application — camera type and resolution, lens selection, lighting design, mounting and positioning, processing hardware, and the software that interprets the image data and delivers a result. Lighting in particular is critical and often overlooked — the right lighting makes defects visible that even the best camera will miss under the wrong illumination. The finished system is integrated into your process, tested against real parts, and commissioned with your team. The result is a vision system that works reliably in your environment, produces consistent results, and delivers the output your process needs — whether that’s a pass/fail signal, a measurement value, a tracking coordinate, or a full inspection log.
