INDICIUS
5.5x:
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PRODUCT INFO:
Product
Overview
INDICIUS 6.0 is the latest release of the INDICIUS product.
The following requirements are in addition to a file server and requirements specified by non-INDICIUS 5.5x workflow components, for example a Kofax Capture or Ascent Capture server.
The attended production modules are:
The following requirements are in addition to a file server and requirements specified by non-INDICIUS 5.5 workflow components, for example an Ascent Capture server.
Category |
Certification |
Platform(s) |
Module(s) |
|
| Ascent Products | Ascent Capture/ACI Server:
|
-- |
All |
|
| Ascent Xtrata: | 1.5 SP2 |
Ascent Capture:
|
||
| 1.7x | Ascent Capture:
|
|||
| Microsoft Windows | XP SP2 |
Ascent Capture/ACI Server:
Ascent Xtrata
|
All |
|
| 2000 Professional SP4 | ||||
| 2000 Server | ||||
| 2003 Server SP1 | Ascent Capture/ACI Server:
Ascent Xtrata:
|
Recognition Scripted Export |
||
| Terminal Services | Windows 2000 Server SP4 | Ascent Capture:
|
Doc Review Correction Completion Verification |
|
| Citrix | MetaFrame Server 3.0 w/Windows 2000 Server SP4 | |||
| Presentation Server 4.0 w/Windows 2000 Server SP4 | ||||
| Presentation Server 4.5 w/Windows 2003 Server SP1 | Ascent Capture 7.5 SP3 | |||
The following are required to run INDICIUS 5.5 and are available from the INDICIUS 5.5 installation start-up screen. During the INDICIUS 5.5 installation you will be warned if you are missing any of these components.
Note: If you wish to evaluate, demonstrate or test INDICIUS 5.5 there is nothing to prevent you installing it on slower machines. The modules will still run and function but at a slower speed.
* Models may be able to be built on computers with less than the 2GB RAM. If 'out of memory' problems are encountered during model building then the memory should be increased to 2GB. This memory requirement for model building is due to the size of the training set, it is therefore expected that this will be a requirement when building full models for production but not when creating smaller models, for example for demonstrations.
Note: If advanced text classification and advanced document separation are being used, the memory requirements will increase depending on the size of the models.
Where multiple recognition engines are required, multi-processor computers are recommended. These can be used with an instance of Recognition running on each processor. The only limitation with this technique is that the voting engine is speed limited on a per machine basis rather than per processor. This means that for configurations using voting there will be no performance gain from using fast multiprocessor servers.
Note: If conventional (CRT) monitors are to be used it is important to ensure that the combination of graphics card and monitor are capable of displaying the desired resolution without screen flicker. A refresh rate of at least 80 MHz is desirable.
The Kofax Capture / Ascent Capture Technical Support group is comprised of three subgroups (discussed on the Support Options Web page), whose members are knowledgeable in all aspects of the Kofax Capture / Ascent Capture product and Kofax / Ascent modules, including installation, configuration, operation and development. Each group receives ongoing product training from our Engineering department relating to the general Kofax Capture / Ascent Capture product and their specific area of expertise. These groups have in depth knowledge of networking, databases, hardware, and programming which they use when assisting all supported Kofax Capture / Ascent Capture customers.
The Kofax Capture / Ascent Capture Advanced Forms product's Technical Support group can assist with problems related to INDICIUS, Ascent Advanced Forms, Ascent for Invoices, Ascent for Health Insurance, and Ascent Xtrata Pro. They are trained on these Kofax created Ascent modules which are designed to expand on the basic Ascent Capture application.
For details regarding technical support available for all Kofax products, please review the current Support Overview & Options and Product Support Eligibility Matrix Web pages.
