Cutler Knupp Technology Categories Pipeline Methodology - - PowerPoint PPT Presentation

Cutler Knupp

• Technology Categories
• Pipeline Methodology
• Documentation
• Pilot Workflow
• Tracking Technology
• Computer Vision + AI // ML
• Robotics
• VR Safety Training

Bridging the Gap: successful application of emerging technologies in practice

PORTFOLIO

Bridging the Gap: successful application of emerging technologies in practice

Current Progress and Challenges

Agenda

• Technology Categories
• Pipeline Methodology
• Documentation
• Pilot Workflow
• Tracking Technology
• Computer Vision + AI // ML
• Robotics
• VR Safety Training

TECHNOLOGY CATEGORIES

Collaboration Technologies that enable better, faster and/or clearer collaborations between all stakeholders

• f a project

Artificial Intelligence Technologies that utilize machine learning and data analytics to highlight trends and possible areas

• f interest

Reality Capture Technologies that capture existing/prog. conditions at any given time to aid in or create the “digital twin”

• f a project

Robotics Robots that would assist or ultimately take-over the dull, dirty and dangerous tasks in construction Prefabrication Technologies that would play a vital role in the ever expanding prefab or modular design/constr. Tracking & Monitoring Technologies that tracks or monitors any aspect of a construction project, from costs to construction workers Design Visualization Technologies that would enhance the visualization of design intent, be it for clients, designers or installers

TECHNOLOGY PIPELINE

INTERNAL DISCUSSION DEMO CALL EVALUATE SCALE LEAD ANALYSIS PILOTING

NOT ENOUGH DATA NOT FEASIBLE NOT APPLICABLE TOO EARLY RE-EVALUATE LATER LARGER SCALE PILOT Consistent Evaluation Form Consistent Analysis Metrics Consistent Pilot Planning

CONSISTENT DOCUMENTATION

EVALUATION

CARD

Problem Statement Technology Type Company Background Founders & Team Competitors

Emerging Technlogy

IMPLEMENTATION

PLAN

Objective Project & Champion Timeline Roles & Deliverables Success Criteria

Ready to Pilot

ANALYSIS

CARD

Success Measures User Feedback Pros & Cons Competitor Analysis Recommendations

Pilot Completion

PILOT WORKFLOW

• Clearly identifying objectives, parties

involved, project, timeline, deliverables and success criteria

IMPLEMENTATION PLAN POSTMORTEM DOCUMENTATION

• Finding the right team is easy, finding a

dedicated champion is the hard part

• Passionate, tech savvy, success driven

PROJECT CHAMPION

• Pairing technology solutions with identified

problems from end users

RIGHT TEAM // RIGHT MENTALITY // RIGHT TIME

• Compiling feedback, success measures and

recommendations for future reference

EVALUATION

CARD New Tech Companies

IMPLEMENTATION

PLAN Ready to Pilot

ANALYSIS

CARD Pilot Completion

Tracking, Vision, Robotics, VR

TRACKING TECH

• Limitations of senor based technologies
• Challenging and complex to manage
• Worker Anonymity
• Human Elements
• Data Reliability

CHALLENGES

• Improvements in layering RTLS for higher accuracy
• Adaptation to challenges from jobsite
• Utilization Vision Technology

FUTURE

• Streamline & automate manual tasks
• Ability to quickly account for workers on jobsite
• Utilization + Performance Benchmarking

PROGRESS

Tracking // Monitoring

Vision

• Not Always “real-time”
• CNN models require great amounts of training data
• Edge processing capabilities for real time analytics

CHALLENGES

• Advancements in edge computing
• Location accuracy
• Advancements in Machine learning models

FUTURE

• Safety + Compliance
• Integrations and flexibility reporting
• Documentation
• Inexpensive Hardware

STREAMLINE DATA COLLECTION

Artificial Intelligence

ROBOTICS

• Highly Technical
• Payload interaction + Integrations
• Human + Robotic interactions
• Power

CHALLENGES

• Fully autonomous actions
• Wireless Charging
• Enhanced payload integrations

PROGRESS

Robotics

• Ability to automate time intensive tasks
• Security, connectivity, real-time data collection
• Durability
• Specific & targeted use cases

HERO

• Hardware limitations
• Administration + Feedback
• Versioning support
• Expensive Development

CHALLENGES

• Continued enhancements on programming +

platform

• Incorporating into training curriculum

NEXT STEPS

• Utilization VR to train jobsite safety
• Converted project models to VR to build levels
• Deployed in the field with great results

PROGRESS

Visualization

THANK YOU

dysruptek.com cutler.knupp@dysruptek.com