Cloud Solutions

Intelligent Video Analytics Configuration Service

Dace IT’s Professional Services Team has the expertise to implement your Business Intelligent and Video Analytic solutions. Dace IT’s Team offers configuration design, installation and implementation support services as well as custom Statements of Work (SOW) for complex solutions.  Dace It’s Professional Services team is trained and certified on IBM Business, AWS Rekognition and Google’s Vision Intelligent Video Analytic solutions in addition to other industry leading casmara products.

Dace IT Analytic Deployment Services is a end to end process that provides an analytic solution to satisfy customer requirements with an acceptable level of accuracy. The service is composed of 4 stages:

1. Requirements Analysis contains items that are the primary focus at the beginning of the customer engagement. These include finding out what the customer is trying to accomplish, defining analytic use-cases to meet those requirements, and consideration of system capabilities and limitations.

2. Design builds on material that is generated from the first phase, and determines appropriate camera views, sets of analytic components and alerts, for each use case. The process of determining camera views heavily depends on whether or not there is a camera network in place. If not, there is usually more flexibility regarding camera placement and positioning. In many cases, a customer will often want to set up cameras so they are conducive to human surveillance, which might not be the best setup for video analytics. Several example images that are described as problematic for automatic processing in Object Detection and Tracking Considerations came from cameras that were set up exclusively for consumption by humans.

3. Implementation performs the “real work”. In this phase the analytic system is created on the basis of the previous 2 phases.

4. Finally, in the Validation phase the design and implementation are vetted through various qualitative and quantitative methods. This validation helps to ensure that the required set of tasks is accomplished with an acceptable level of accuracy. This documented service provides a set of guidelines on how to perform Basic Object Analysis Validation.

Throughout the deployment, details can be recorded in a worksheet to help organize the effort. Material in the worksheet are also be repurposed for customer presentations. In theory, each of the 4 phases is followed sequentially, but in practice it is an iterative process. In this process earlier steps are refined or revisited based on knowledge that is obtained in later phases.


This service is intended principally for providing a professional  team of individuals who are responsible for deploying, configuring, tuning, and supporting IBM Intelligent Video Analytics (IBM IVA). These services includes solution architects, delivery teams, and level 1, 2 and 3 support personnel.

While the IBM IVA Knowledge Center describes in depth the mechanics of creating and calibrating video analytics engines. The IVA administrator must make several decisions in this process. These decisions are based on a number of factors, including knowledge of the underlying use-case, the analytics capabilities and limitations, the camera viewpoints, and the accuracy requirements. Sometimes it is necessary to delve deeper into the system configuration and “tune” components to get the best performance to meet your case needs.

Our analytic planning and configuration Services help with this process.  Our teams have the  experience of installing and configuring IBM IVA. This includes  understanding of analytic profiles, analytic engines, alerts, and calibration. Our knowledge of computer vision is coupled with technical concepts are renders a  a high level of expertise.

1.2. Overview These services focuses on details of the design and implementation of deploying analytic use-cases for IBM Intelligent Video Analytics (IBM IVA). Analytic Deployment Model discusses the process of deploying analytic solutions, how this document fits into that model, and companion documents that cover other aspects of analytic deployment. System Overview defines basic terminology, describes major components, and positions the SSE in the context of the overall IBM IVA system.

Scene Context Framework describes the component of IBM IVA that is responsible for managing all “context” data in the system. This is integrated with a Camera Position Monitoring facility that detects camera viewpoint changes, and associates context data with a detected position.

Video Source Requirements and Video Quality Requirements explain how, in order to get the best results, some minimal requirements on video source frame rate and camera resolution must be achieved. In addition, key video quality factors are determined. These factors might require tuning to further improve analytics results.

Analytic Profiles provides an introduction to profiles that function as an engine “template” upon which new engines are created. This is followed by a comparison of different analytic profiles: 

Object Analysis Analytics focuses on tracking two types of moving objects, people and vehicles, in general urban surveillance contexts.