Machine Vision Toolkit

Save time, empower your teams and effectively upgrade your processes with access to this practical Machine Vision Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Machine Vision related project.

Download the Toolkit and in Three Steps you will be guided from idea to implementation results.

The Toolkit contains the following practical and powerful enablers with new and updated Machine Vision specific requirements:

STEP 1: Get your bearings

Start with...


• The latest quick edition of the Machine Vision Self Assessment book in PDF containing 49 requirements to perform a quickscan, get an overview and share with stakeholders.


Organized in a data driven improvement cycle RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain), check the…


• Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation


Then find your goals...

STEP 2: Set concrete goals, tasks, dates and numbers you can track

Featuring 995 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Machine Vision improvements can be made.

Examples; 10 of the 995 standard requirements:


1. Does the inspection system activate a warning immediately after the first defect is found, or does the system only activate a warning after a number of consecutive defects?
   
   

2. Does the experience of being able to manipulate the visual as data through everyday interaction with machine vision lead you to see the world and ourselves as malleable?
   
   

3. What real time image and data analysis techniques are best suited to provide the required machine vision and perception for an effective intersection safety system?
   
   

4. Which kinds of organization develop and which are limited in the interaction between individual users and machine vision?
   
   

5. When it finally comes to designing a machine vision system for OCR, how is the most appropriate solution determined?
   
   

6. When malfunctions happen, can the line recover itself or is the intervention of a human operator required?
   
   

7. What kind of partners will your organization need to boost capabilities and deliver the desired outcomes?
   
   

8. Do you need the data string that is printed on your products to be compared to an intended match string?
   
   

9. How will you demonstrate that your claimed algorithm is an improvement over standard naive methods?
   
   

10. Can a neural network be trained to separate non ferrous materials from ferrous materials in images?
    
    


Complete the self assessment, on your own or with a team in a workshop setting. Use the workbook together with the self assessment requirements spreadsheet:


• The workbook is the latest in-depth complete edition of the Machine Vision book in PDF containing 995 requirements, which criteria correspond to the criteria in...


Your Machine Vision self-assessment dashboard which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next:


• The Self-Assessment Excel Dashboard; with the Machine Vision Self-Assessment and Scorecard you will develop a clear picture of which Machine Vision areas need attention, which requirements you should focus on and who will be responsible for them:
  
  


• Shows your organization instant insight in areas for improvement: Auto generates reports, radar chart for maturity assessment, insights per process and participant and bespoke, ready to use, RACI Matrix

• Gives you a professional Dashboard to guide and perform a thorough Machine Vision Self-Assessment

• Is secure: Ensures offline data protection of your Self-Assessment results

• Dynamically prioritized projects-ready RACI Matrix shows your organization exactly what to do next:



STEP 3: Implement, Track, follow up and revise strategy

The outcomes of STEP 2, the self assessment, are the inputs for STEP 3; Start and manage Machine Vision projects with the 62 implementation resources:


• 62 step-by-step Machine Vision Project Management Form Templates covering over 1500 Machine Vision project requirements and success criteria:


Examples; 10 of the check box criteria:


1. Team Performance Assessment: To what degree does the teams work approach provide opportunity for members to engage in open interaction?
   
   

2. WBS Dictionary: The total budget for the contract (including estimates for authorized and unpriced work)?
   
   

3. Quality Audit: How does your organization know that its research funding systems are appropriately effective and constructive in enabling quality research outcomes?
   
   

4. Change Request: Screen shots or attachments included in a Change Request?
   
   

5. Quality Audit: How does your organization know that its system for recruiting the best staff possible are appropriately effective and constructive?
   
   

6. Monitoring and Controlling Process Group: Based on your Machine Vision project communication management plan, what worked well?
   
   

7. Milestone List: Milestone pages should display the UserID of the person who added the milestone. Does a report or query exist that provides this audit information?
   
   

8. Closing Process Group: What can you do better next time, and what specific actions can you take to improve?
   
   

9. Activity Duration Estimates: Are Machine Vision project activities decomposed into manageable components to ensure expected management control?
   
   

10. Procurement Management Plan: Do Machine Vision project managers participating in the Machine Vision project know the Machine Vision projects true status first hand?


 
Step-by-step and complete Machine Vision Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:


• 1.1 Machine Vision project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:


• 2.1 Machine Vision project Management Plan

• 2.2 Scope Management Plan

• 2.3 Requirements Management Plan

• 2.4 Requirements Documentation

• 2.5 Requirements Traceability Matrix

• 2.6 Machine Vision project Scope Statement

• 2.7 Assumption and Constraint Log

• 2.8 Work Breakdown Structure

• 2.9 WBS Dictionary

• 2.10 Schedule Management Plan

• 2.11 Activity List

• 2.12 Activity Attributes

• 2.13 Milestone List

• 2.14 Network Diagram

• 2.15 Activity Resource Requirements

• 2.16 Resource Breakdown Structure

• 2.17 Activity Duration Estimates

• 2.18 Duration Estimating Worksheet

• 2.19 Machine Vision project Schedule

• 2.20 Cost Management Plan

• 2.21 Activity Cost Estimates

• 2.22 Cost Estimating Worksheet

• 2.23 Cost Baseline

• 2.24 Quality Management Plan

• 2.25 Quality Metrics

• 2.26 Process Improvement Plan

• 2.27 Responsibility Assignment Matrix

• 2.28 Roles and Responsibilities

• 2.29 Human Resource Management Plan

• 2.30 Communications Management Plan

• 2.31 Risk Management Plan

• 2.32 Risk Register

• 2.33 Probability and Impact Assessment

• 2.34 Probability and Impact Matrix

• 2.35 Risk Data Sheet

• 2.36 Procurement Management Plan

• 2.37 Source Selection Criteria

• 2.38 Stakeholder Management Plan

• 2.39 Change Management Plan


3.0 Executing Process Group:


• 3.1 Team Member Status Report

• 3.2 Change Request

• 3.3 Change Log

• 3.4 Decision Log

• 3.5 Quality Audit

• 3.6 Team Directory

• 3.7 Team Operating Agreement

• 3.8 Team Performance Assessment

• 3.9 Team Member Performance Assessment

• 3.10 Issue Log


4.0 Monitoring and Controlling Process Group:


• 4.1 Machine Vision project Performance Report

• 4.2 Variance Analysis

• 4.3 Earned Value Status

• 4.4 Risk Audit

• 4.5 Contractor Status Report

• 4.6 Formal Acceptance


5.0 Closing Process Group:


• 5.1 Procurement Audit

• 5.2 Contract Close-Out

• 5.3 Machine Vision project or Phase Close-Out

• 5.4 Lessons Learned


Results

With this Three Step process you will have all the tools you need for any Machine Vision project with this in-depth Machine Vision Toolkit.

In using the Toolkit you will be better able to:


• Diagnose Machine Vision projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices

• Implement evidence-based best practice strategies aligned with overall goals

• Integrate recent advances in Machine Vision and put process design strategies into practice according to best practice guidelines


Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role; In EVERY company, organization and department.

Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?'

This Toolkit empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Machine Vision investments work better.

This Machine Vision All-Inclusive Toolkit enables You to be that person.

Includes lifetime updates

Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.