As we continue to monitor Coronavirus (COVID-19) developments closely, the health and well-being of our team, customers, and their employees is of utmost importance to us.
As a trusted vendor, we understand the imperative of limiting the impact this situation could have on our services. We are keenly focused on maintaining a safe work environment for our team while ensuring continuous service.
We have a robust integrated Business Resiliency Program in place and are committed to keeping our operations running smoothly.
This Plan includes:
Minimizing supply chain disruptions through constant communications with our production facilities and logistics partners
Maintaining larger stock levels of products at our distribution facility
Prioritizing orders being shipped based on the order in which they were received
Enabling work from home capabilities for our sales and support staff
Providing our team members with information and best practices to prevent the spread of any illness
Coordinating communications with our team, associates, customers and partners
Limiting all non-essential business travel
In the short term, you might experience a slightly longer than anticipated lead time for fulfilment of some the orders. Please be assured, we are taking every measure to ensure minimal disruptions or delays and continue to monitor this fluid situation on a daily basis.
Thank you for your business, and your continued support.
Machine vision uses sensors (cameras), processing hardware and software algorithms to automate complex or mundane visual inspection tasks and precisely guide handling equipment during product assembly. A machine vision system will work tirelessly performing 100% online inspection, resulting in improved product quality, higher yields and lower production costs. Consistent product appearance and quality drives customer satisfaction and ultimately market share.
The main reason is that improper illumination results in loss of information which, in most cases, cannot be recovered via software. Therefore the selection of quality lighting components is of primary importance: there is no software algorithm capable of revealing features that are not correctly illuminated.
To make the most appropriate choice, one must consider many different parameters, including:
- Lighting geometry
- Light source type
- Surface property of the material to be inspected or measured (e.g. color, reflectivity)
- Item shape
- Item speed (online or offline application)
- Mechanical constraints
- Environment considerations