Vision & Edge-AI Lab: making the right choices in vision and AI

Reduce risk in vision projects through early validation

Selecting the right vision setup is often slower and more expensive than expected. Early design choices that turn out wrong lead to rework, delays and increased project risk.
In this online webinar, Sirris presents the Vision & Edge-AI Lab and explains how companies can validate vision hardware and software combinations at an early stage, using concrete examples from previous projects. 

Sirris acts as an independent partner for structured testing of lighting, cameras, optics, software and processing hardware. Your data, results and know-how remain yours. This enables better technical decisions, faster proof-of-concepts and lower project risk.
 

For whom?

This webinar is intended for professionals involved in selecting, evaluating or deciding on vision and AI solutions, including:

• Managers responsible for technology, operations or innovation
• Engineers involved in system design, evaluation or specification
• Technical specialists assessing feasibility and performance
• Decision-makers with budgetary or strategic responsibility
• Stakeholders who evaluate business value and influence investment or project decisions
   

Key takeaways

You gain a clear view of:

• Why the Vision & Edge-AI Lab was created and which industrial challenges it addresses
• How neutral testing reduces trial-and-error and project cost
• Available vision hardware and software at Sirris
• Typical pitfalls and lessons learned from real projects
• How to start proof-of-concept testing with Sirris
   

Programme

• Introduction: why vision projects fail and how the Vision Lab helps
• Business value of the Vision Lab for industrial companies
• Vision Lab capabilities overview
• Detailed capabilities, use cases and common pitfalls
• End-to-end vision pipeline walkthrough
• Questionnaire, contacts and next steps