Overview
Sherlock is a Windows-based machine vision
software environment specifically intended to simplify development and
deployment of high performance alignment, gauging, inspection, assembly
verification, and machine guidance tasks. With absolutely no language
programming required, system Integrators and end-users of the machine
vision industry find that the rapid prototyping environment of Sherlock
greatly reduces development time and helps speed time-to-market.
Examples of what you can do using Sherlock
software:
- Graphically organize your entire machine
vision strategy
- Interactively experiment with all
functions of the MVTools library
- Confirm run-time executive performance
- Fine-tune variables and parameters
- Create custom vision algorithms
- Plot statistical data (SPC)
- Set or Read discrete I/O signals
The Sherlock software environment also
provides Monitor, Surveillance, and SPC Reporter utilities for gaining
insight into vision task program flow, internal/external events, internal
variables, or other parameters as you run your machine vision application.
Sherlock capabilities are ideal for
manufacturing applications in the automotive, consumer goods, textile,
electronics, packaging, pharmaceutical, and plastics industries.
Key features
- 32-bit version
- Configure applications from a
point-and-click environment - No Programming Required
- Utilizes a single video monitor for
setup, image display, and run-time user interface
- Set up to 5 different Image
Preprocessing Algorithms for each AOI
- AOIs can be setup with their own Image
Analysis Algorithms
- Peaks, Formulas, Sub-routines, and I/O
events are all created graphically
- Tolerant of all calculation permits
pass/fail and SPC results handling
- Support for custom algorithms
- Highly customized reports can be sent to
one or more destination
- Internal Statistical Process Control (SPC)
package
- Easy tie-in to third-party hardware and
software for networking, SPC, custom front-ends, and more
Specifications:
Applications
Application Notes
Cameras supported
|