solutions

Intelligent Agents
Use AI to easily improve your manufacturing processes

Simple System

Easy to Deploy

Reduces
Labor

Improves Performance

Intelligent Agents
Control processes Like Never before

A flexible Artificial Intelligence (AI) and sensor system which can be deployed at any industrial process step to see and predict objects and events, recommend actions and report on important metrics. It's AI can be trained to make human-like decisions consistently and quickly.

How Intelligent Agents Deliver Value

key capabilities

Intelligent Agents: What They Do

Intelligent Agents use exceptional visual intelligence capabilities to optimize production processes and reduce situations that can negatively impact production. Here's what they do:

Applications for Intelligent Agents

Examples of process steps by industry where Intelligent Agents add value

Location

Value

Log Singulation

Reduced costs due to doubles

Lathe Infeed

Eliminate or reduce lathe tendre labor

Clipper/Chipper Infeed

Eliminate downtime at machine centers clearing jams

Dryer Infeed

Eliminate Headcount at Dryer Infeed

Dryer Outfeed

Clear doubles, wads off dryer infeed prior to entry into grade line.   Eliminate headcount at 90 degree turns. 

Layup line

Increase line throughput, quality of output and reduce waste from downstream

Core/99” Saw Infeed

Prevent Core saws from being loaded incorrectly

Sander

Identify line management of sander related defects

Package Quality

Reduced quality labor, increased value

Unauthorized entry

More secure and safe environment, reduced incidents

Stock monitoring

Better stock control

Location

Value

Debarker

Eliminate downtime/outages tied to debarker damage and log extraction

Planar feeder

More efficient planar operation with higher quality output

Unscrambler, Lug loader,Trimmer infeed

Better lug fill, eliminate labor on unscrambler outfeed better trim saw performance.

Trim saw outfeed

Better quality outfeed, prevent jams in conveyance to round table/grader…

Round table

Reduced labor cost, consistent sortation and rejection with quality details and standards

Stick separator

More efficient and effective separation

Sorter

Stopping line in time to address torpedo board. 

Kiln

Eliminates kiln damage, replaces wire based board detection.  

Stock monitoring

Better stock control

Unauthorized entry

Proactive defense for unauthorized entry.

Location

Value

Safety

Fewer incidents

Forming line

More uptime, lower maintenance costs due to fewer and less severe incidents

Hot press

More uptime, lower maintenance costs due to fewer and less severe incidents

Plant outfeed

Increased quality and reliability of output due to enhanced feedback

Lower costs due to quality issues due to same

Debarker infeed

Reduced oversight labor

Fewer incidents, more uptime, less maintenance

Higher quality and more consistent input

Log grappling from pond

Less downtime, higher quality due to better anomalous log handling

Location

Value

Moulder

Better preventative saw maintenance, less waste. 


Less skilled labor needed to manage outfeed

Rip saw

Increased quality and better maintenance.


Reduced labor required per board processed.

Unauthorized entry

More secure and safe environment, reduced incidents

Stock monitoring

Better stock control

Process StepAI Vision Target(s)Potential AutomationValue
Pack to boxLabel quality, expiration date, lot codeNotification, stop, slow, robotic fixPrevent products with damaged labels or missing expiration dates from being shipped to customer
Pack to thermoformerFood product fit into packageNotification, stop, slow, robotic fixPrevent air leaks that can lead to spoilage of food product
Process StepAI Vision Target(s)Potential AutomationValue
Queing for palletizingBox integrityNotification, stop, slow, robotic fixPrevent damaged goods from being shipped to customer
Crate cleaning Crate integrity inspectionNotification, stop, slow, robotic fixPrevent damaged crates from being used which could damage product.

Applications for Intelligent Agents

Examples of process steps by industry where Intelligent Agents add value

Process StepAI Vision Target(s)Potential AutomationValue
Trim saw outfeedSkew, double lugNotification, stop, slow, robotic fixBetter quality outfeed, prevent jams in conveyance to round table/grader…
Stick separatorStick full length without broken endsNotification, robotic fixMore efficient and effective separation
Location AI Vision Target(s) Potential Automation Value
Log Singulation Doubles Notify, Stop, Fix Reduced costs due to doubles
Lathe Infeed Lathe tender Notify, Stop, Slow, Fix Eliminate or reduce lathe tendre labor
Clipper/Chipper Infeed Wad management Slow, Fix Eliminate downtime at machine centers clearing jams
Dryer Infeed Loader misfeed Identify, Fix Eliminate Headcount at Dryer Infeed
Dryer Outfeed Multi sheet stack to grader Notify, Stop, Fix Clear doubles, wads off dryer infeed prior to entry into grade line.   Eliminate headcount at 90 degree turns. 
Core/99” Saw Infeed Load correction Stop Prevent Core saws from being loaded incorrectly
Sander Skips, mars Notify Identify line management of sander related defects
Package Quality Quality issue detection and action Notify Reduced quality labor, increased value
Unauthorized entry Access by people Notify, Stop More secure and safe environment, reduced incidents
Stock monitoring stock levels Notify, lockdown Better stock control
Location AI Vision Target(s) Potential Automation Value
Debarker Double logs AI supervisor to notify of double log entry Eliminate downtime/outages tied to debarker damage and log extraction
Planar feeder Crossups, double lugs, boards not even Notification, stop, robotic fix More efficient planar operation with higher quality output
Unscrambler, Trimmer infeed Doubles, crossups, boards not even Notification on double board.  Robotic response to reject double.  Better lug fill, eliminate labor on unscrambler outfeed better trim saw performance.
Trim saw outfeed Skew, double lug Notification, stop, slow, robotic fix Better quality outfeed, prevent jams in conveyance to round table/grader…
Stick separator Stick full length without broken ends Notification, robotic fix More efficient and effective separation
Sorter Hangups Torpedo board notification Stopping line in time to address torpedo board. 
Kiln Hanging Boards on Package AI supervisor to stop package entry into CDK kils for packages with handing boards Eliminates kiln damage, replaces wire based board detection.  
Stock monitoring stock levels Notify, lockdown Better stock control
Unauthorized entry People entering LOTO space AI supervisor to issue all stop to PLC.   Notification to supervisor Proactive defence for unauthorized entry.
Location AI Vision Target(s) Potential Automation Value
Log grappling from pond Anomalous logs Log grappling quality/incidents Notify of anomalous logs Grappling guidance Grappling automation Less downtime, higher quality due to better anomalous log handling
Debarker infeed Anomalous logs Empties/doubles Notify problems for human intervention Slow/stop line before incident Robotic intervention Reduced oversight labor Fewer incidents, more uptime, less maintenance Higher quality and more consistent input
Forming line Contamination Notify operator of potential incident Stop before incident More uptime, lower maintenance costs due to fewer and less severe incidents
Hot press Jam or default movement of carger Notify operator Stop before incident More uptime, lower maintenance costs due to fewer and less severe incidents
Plant outfeed Product quality Notify operators of quality issues Signal operators/machines earlier in process of issues in real time for action Robotic handling of quality issues Increased quality and reliability of output due to enhanced feedback Lower costs due to quality issues due to same
Process StepAI Vision Target(s)Potential AutomationValue
Queing for palletizingBox integrityNotification, stop, slow, robotic fixPrevent damaged goods from being shipped to customer
Crate cleaning Crate integrity inspectionNotification, stop, slow, robotic fixPrevent damaged crates from being used which could damage product.
Process StepAI Vision Target(s)Potential AutomationValue
Pack to boxLabel quality, expiration date, lot codeNotification, stop, slow, robotic fixPrevent products with damaged labels or missing expiration dates from being shipped to customer
Pack to thermoformerFood product fit into packageNotification, stop, slow, robotic fixPrevent air leaks that can lead to spoilage of food product

Intelligent Agents for Wood Products

DEFECT DETECTION at layup infeed

Intelligent Agents can be used to identify characteristics in wood products, such as knots and splits. In this example, the agent identifies holes, knots, and splits and provides a probability for each event. Plywood mills leverage this information to reject or recycle veneer and report on quality.

TOP SHEET DETECTION

Intelligent Agents can be leveraged to identify objects, such as veneer panelling that are not uniform in size or shape and stacked on top of each other. Here, the Agent is identifying the top sheets as they are moved from the stack. This information is used by our veneer/panel handler product to pick only the top sheet from a stack.

provide new metrics

Knots
16,832
Holes
6,336
Splits
4,292
Veneer
1,493

Intelligent Agents provide analytics and reporting back to Mill operations staff to track key metrics for their products.Leveraging computer vision, the agent in this example is counting veneer panels and the number of knots, holes, splits.

how it works
Example Use Case

Count bottles of various sizes and shapes that are in containers as they move down your conveyors.

A simple way to use Mission Control is to identify what a bottle cap looks like by drawing bounding boxes around the caps of each bottle in a sample image to help the algorithm learn what they look like. The system then creates a machine-learning model that can identify bottles in containers as they move down your conveyer line.

You can leverage Mission Control’s Auto Detection feature to find all of the caps and train your machine learning model automatically. You can test your models, side by side, to see how they perform.

You can build and compare models in minutes. You can compare them side by side to view their performance.

Mission Control is a no-code platform that enables manufacturers to view videos, identify objects of interest, and automatically build and update learning models that provide deep introspection and control of their processes. You don’t need to learn AI or Machine Language.

natural interactions
Simple interactions that control complex processes

Using video feeds, operators can open the application and create models instantly. You can identify the objects of interest, detect defects on objects, and identify how objects are handled – all with a point-and-click process that requires no coding or complex training.

democratizing machine learning
AI for Everyone

Intelligent Agents lower the barrier of introducing reliable and effective machine learning. Manufacturers can easily build complex processes using simple, easy-to-use web interfaces. These processes can do everything from control complex robotics movements to identifying objects.

On-demand access to a scalable robotic workforce.

How can we help? 

Get news, updates, & whitepapers