2D vision
Color, texture, presence and planar position. The basis for labels, assembly, codes and surface defects.
Machine vision · Gist Point
Industrial machine vision.
Inspection, robot guidance, traceability and metrology with a measurable criterion. The camera is one part: the project includes light, optics, software, integration and validation.
For parts that cannot be checked by eye, processes that need data and robots that must see before picking.
Applications
What we solve with vision
We do not sell a loose camera: we define the problem, the acceptance criterion and the integration. These are the three base applications.
Technology
What is behind a vision cell
Imaging, lighting, optics, software and integration define the result. Technology is chosen for the defect or task, not for the brand.
3D vision
Height, volume, profile and orientation. For stacked parts, welds, wear and bin picking.
Lighting and optics
Light and lens solve the defect before the algorithm. They are chosen by geometry, material and speed.
AI and learning
For variable defects or textures hard to describe with rules. Requires labeled samples and validation.
GigE Vision and USB3 Vision
Industrial camera connectivity standards. They simplify integration, distance and equipment compatibility.
Software and integration
Processing, recipes, logging and PLC, MES or ERP communication. The interface is part of the project.
Industries
Where it has the most impact
- Automotive and parts
- Food and beverage
- Pharma and cosmetics
- Electronics
- Metalworking
- Logistics and packaging
- Mining
Method
How we work
- 01
1. Define the problem
What must be detected, measured or read; what is acceptable and what is not.
- 02
2. Trial with your part
Photos, samples and borderline cases to confirm lighting, optics and algorithm.
- 03
3. Design the cell
Camera, mounting, trigger, reject, PLC/MES and safety.
- 04
4. Validate and document
False positives, false negatives, repeatability and acceptance criteria.
Technical resources
Material to assess vision
Reference technical documents on 3D imaging, protocols, processing and networks. They are reference material, not an equipment offer.
PDF3D machine vision trendsWhat is changing in 3D cameras, sensors and processing for inspection and robotics.PDFDesign and deployment of 3D imagingArchitecture decisions for integrating 3D imaging into an industrial cell.PDFEmerging protocols in machine visionProtocol comparison and impact on latency, bandwidth and integration.PDFProcessing bottlenecksHow to prevent acquisition and processing from limiting the inspection cycle.PDFVision-critical networkingNetwork best practices for cameras, bandwidth and plant stability.
Frequently asked questions
What to know before investing
What is industrial machine vision?
It is the use of cameras, lighting, optics and software to inspect, measure, identify or guide a machine. It is not just a camera: it is a system with acceptance criteria and integration.
How is it different from robot vision?
Industrial vision includes inspection, traceability and metrology. Robot vision is one application: locating and orienting a part so the robot can pick or place it.
Do I need AI for inspection?
Not always. Many defects are solved with rules, measurements or color. AI is justified when the defect varies and cannot be described with simple thresholds.
Can it integrate with the existing line?
Yes, with trigger, encoder, PLC, MES or ERP. The interface and reject logic are defined before commissioning.
How is an inspection validated?
With good, bad and borderline parts, measuring false positives and false negatives. Validation is documented and repeated with the real part.
Do you work in Argentina and neighboring countries?
Yes. Assessment and integration are coordinated from Córdoba for Argentina, Chile, Peru, Bolivia, Paraguay and Uruguay.
Next step · Gist Point
Have a part or process to assess?
Send photos or a video of the process and we will define whether a vision trial, an assessment or a complete cell makes sense.