Process Sentinel

Use AI Agents to improve your manufacturing processes

Simple System

Easy to Deploy

Reduces Labor

Improve Performance

PROCESS SENTINELS

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.

Hunter

Crow Engineering leverages AI to help customers achieve greater efficiency, reduced downtime, and higher ROI. Our goal is to optimize automation through AI-driven solutions, enhancing productivity, quality control, and cost savings to keep our clients ahead in an evolving industry.

Hunter Wylie

President & Director of Industrial Engineering

Applications for Process Sentinels

Process Sentinels 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.

Process Step AI Vision Target(s) Potential Automation Value
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
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
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
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
Location AI Vision Target(s) Potential Automation Value
Moulder Saw performance, quality of input & output wood material

Notify operators

Stop for maintenance

Auto-mark moulding and accounting

Better preventative saw maintenance, less waste. 

Less skilled labor needed to manage outfeed

Rip Saw Saw performance, labor performance

Notify/stop for maintenance

Outfeed sortation

Increased quality and better maintenance.

Reduced labor required per board processed.

Unauthorized entry Access by people Notify, Stop More secure and safe environment, reduced incidents
Stock monitoring stock levels per storage location Notify, lockdown, inventory Better stock control
Process Step AI Vision Target(s) Potential Automation Value
Pack to box Label quality, expiration date, lot code Notification, stop, slow, robotic fix Prevent products with damaged labels or missing expiration dates from being shipped to customer
Pack to thermoformer Food product fit into package Notification, stop, slow, robotic fix Prevent air leaks that can lead to spoilage of food product
Process Step AI Vision Target(s) Potential Automation Value
Queing for palletizing Box integrity Notification, stop, slow, robotic fix Prevent damaged goods from being shipped to customer
Crate cleaning  Crate integrity inspection Notification, stop, slow, robotic fix Prevent damaged crates from being used which could damage product.
KNOTS

0

KNOTS
SPLITS

0

SPLITS
HOLES

0

HOLES
VENEER

0

VENEER

Process Sentinels for Wood Products

DEFECT DETECTION AT LAYUP INFEED

Process Sentinels 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.

defect-detection
NATURAL INTERACTION

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

Process Sentinels 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.

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