byteLAKE
AI Products for Industries.
Cognitive Services
for
Manufacturing & Automotive

Cognitive Services
• for Manufacturing
software that visually inspects processes, parts, components, or products
• for Automotive
AI-powered microphones that assess the quality of car engines
• for Paper Industry
AI-powered cameras to monitor the papermaking process
and detect, measure, and analyze the wet line
• for Restaurants
add-on software that recognizes meals
and sends a list of these to the cashier's machine

Manufacturing
Key problems
Visual Inspection
• Growing cost of manual
inspections & limited access
to qualified personnel
• Poor quality impacts customer
satisfaction, reputation etc.
• Poor counting generates losses
(freebies). Alternatively:
disappointed customers
if we ship too little.
• Slow inspection means missed
opportunities, slow G2M etc.
Data Analytics
• No historic data/data collection
means no data analytics.
• No data analytics means: we don’t
know what we don’t know.
• Collecting all data generates
unnecessary costs (of storage).
• Poor data analytics:
• Unplanned downtimes
• Quality affected
• Customers satisfaction
• Inefficient processes, etc.
The average cost of an unplanned downtime is USD $220,000 a day for a paper or pulp plant.
International Journal of Strategic Engineering Asset Management

Finding answers hidden in the data
4
• All industries generate data, some collect & process them:
— images, videos, sounds, and time-series data, etc.
• Data without analytics is useless
— it’s not gold, it’s just cost (of storage)
Lack of data analytics:
we don’t know what we don’t know
• Data Analytics: Why something happens? What will
likely happen? What are the trends?
• Automation: helps process data fast & efficiently.
Can we leverage historic data
to make better decisions?

Industry evolves
6
Industry 1.0
Mechanization
Steam power
Weaving loom
Industry 2.0
Electricity
Mass production
Assembly line
Industry 3.0
Computers and
electronics
Automation
Industry 4.0
Cyber Physical
Systems
Internet of tings,
Networking,
Big Data,
Artificial
Intelligence
Industry 5.0
Human-centric
and resilient
European
industry.
Reinforces the role
and the
contribution of
industry to society
1760-1840
1830s-1915
1960-2010
2011 - Today
2020 - ????

Image Analytics
Automated quality and process
monitoring in Manufacturing
AI
Model
Train
Prepare
Defects #: 1
Distance: < 2m!
AI-assisted Visual Inspection

• Quality monitoring automation
(visual inspection of products and processes,
environment analytics, detecting dangerous
situations, events and behaviors etc.)
• Counting objects
(objects recognition and quantification
i.e. on conveyor belts, elements in objects etc.)
• Objects recognition
(camera’s input analysis and i.e. food type
recognition, parts types in manufacturing etc.)
• 3D data analytics
(robotic arms movement automation with 3D
cameras, routing/self driving robots etc.)
AI-assisted Visual Inspection
Features
Image Analytics

Counting objects
9

0
Cognitive Services for Manufacturing
Software that visually inspects processes, parts, components, or products
AI Model
‘s Cognitive Services
for Manufacturing

Solution to problems
Software that visually inspects processes, parts, components, or products
✓ AI can analyze images FAST
✓ High accuracy, 24/7
✓ Easy to replicate
✓ Quick deployment
✓ Never gets bored / distracted
✓ byteLAKE’s Cognitive Services works offline
(no cloud/Internet connection required)
Example scenarios
• automated visual
inspection
• scratches
• cracks
• dents
• wrong color
• paint chips/peeling
• wrong shape
• fractures
• etc.

Cognitive Services
• for Manufacturing
software that visually inspects processes, parts, components, or products
• for Automotive
AI-powered microphones that assess the quality of car engines
• for Paper Industry
AI-powered cameras to monitor the papermaking process
and detect, measure, and analyze the wet line
• for Restaurants
add-on software that recognizes meals
and sends a list of these to the cashier's machine

Sound analytics for Automotive (manufacturing)
Key problems
13
• Typically, employees focus on many tasks
and acoustic analysis is just one of them
(distraction)
• Surrounding noises/earplugs/etc. make it
harder to properly assess the sound
(distraction)
• Quality depends on employee’s unique skills,
ability to concentrate on a given day, health,
etc. (hard to replicate and ensure consistent
results)
• Engines might have different characteristics,
environment might change (temperature,
humidity, surrounding noises), etc.
(distraction)
• Defective engines
not rejected
• Cost of manual work
• Hard to stay focused
for many hours
• Distractions (environment)

Sound analytics
14
• AI can be trained to analyze sound
samples, filter out noise, identify
characteristic parts, etc.
• Analytics:
anomaly present / not present.
• Advanced analytics: anomalies can be
analyzed and grouped.
• AI can adjust to changes
in environment (learn over time).

Status: OK
Status: NOT-OK
[Reason?]
Cognitive Services for Automotive
AI-powered microphones that assess the quality of car engines
Test passed: no
• AI helps increase the overall reliability of production
• Enable 24/7, continuous quality monitoring
• Cost-effective, offloads humans from the tiring,
boring and tedious job
• Quality improvement as the process is consistent and
reliable
• Eliminate potential human errors
• Easy to integrate

Solution to problems
AI-powered microphones that assess the quality of car engines
✓ 24/7, high accuracy sound analytics
✓ Learns over time/adjusts to changes in env.
✓ Easy to replicate
✓ Quick deployment
✓ Never gets bored / distracted
✓ byteLAKE’s Cognitive Services works offline
(no cloud/Internet connection required)
Example scenarios
• automated quality
inspection based
on sound analysis
• car engine sound
analytics
• bearing sound
analysis
• moving parts’
sound analysis and
issues detection
• etc.

Cognitive Services
• Data Analytics

• Improve Client Experience
(analyze past interactions/behaviors to enable
personalized decisions)
• Predict outcomes and trends
(detect anomalies or suspicious behaviors, patterns
and make recommendations)
• Find optimal solutions
(sensors data analytics to find dependencies, trends
and optimal configurations)
• Better Decisions
(recommendations based on historic data analytics)
Cognitive Services for Big Data
AI-powered Big Data / IoT Sensors Data Analytics
AI
Model
Train
Prepare
Finding answers hidden in Big Data

• Complex or repetitive tasks automation
(extracting information from documents, scans, e-mails etc.)
• Industry 4.0 automation
(intelligent cameras for visual inspections, sensors data analytics etc.)
• Enabling data-driven, proactive operations
(finding answers hidden in the data like why something happened? What will
likely happen? What are the trends?)
Cognitive Automation
Complete Solutions
Hardware + Software
Custom made solutions
with the ability to self-improve over time

Predictive Maintenance: case study
20

Avoiding losses thru Data Analytics
21
Predictive Reactive Preventive
Timing When required After breakdown At predefined intervals
Pros
Lowest risk of
breakdown
No fixed costs
Lower risk of breakdown
than reactive
Cons High fixed cost Higher risk of breakdown Unnecessary maintenance
Reactive Maintenance Vs Preventive Maintenance Vs Predictive Maintenance (assetinfinity.com)

Panel discussion: Cognitive Services (AI for Industry 4 0)
Listen to the recording on YouTube: youtu.be/skM77hdPCjw

Deployment
Example scenario

1. Use Case definition: describe scenario to automate/analyze
a) Typical candidates: areas to optimize decision-making process,
tasks that take too long, are complicated or are repetitive etc.
2. Setting the targets for AI Model(s)
a) What is the accepted accuracy? Within 85-95%? Higher? Lower?
b) What’s the performance expected?
c) Consultancy about the data and expected input/output formats
d) Consultancy about integration and deployment expectations
e) byteLAKE will guide you thru all topics about data and components needed
(data collection/optimization, hardware and software components etc.)
Cognitive Services – how to start

Bringing AI to manufacturing
Removing the complexity of delivering a complete solution
AI Consultants
SW Engineers &
AI Consultants
Data Wranglers Data Scientist AI engineer
IoT/Edge
Devices
Big Data & Data
Mgmt. SW
Big Data & Data
Mgmt. HW
Data Collection
SW
byteLAKE’s Cognitive Services DevOps SW
Model Optimization & Mgmt. HW DevOps HW
Find
Solution
Awareness,
Demo, PoC
Data
Collection
Extracting,
storing,
retrieving
Data
Cleaning
Cleaning,
formatting,
labeling
AI Model
Training
AI Model
Deployment
& Retraining
Complete
Solution
Deployment
& Integration
Manufacturing
Quality Control
& Analytics
Cognitive Services
AI for Industry 4.0

Wet Line Detector
typical deployment
byteLAKE’s Cognitive Services
Edge Components / Data Sources Automation Software
Edge Computing / Edge AI On-premise / Cloud Infrastructure
Mini PC (Edge)
Powered by
Data Acquisition Data Processing Data Analytics & Process Automation

From Edge Components to Decisions
end-to-end monitoring automation
Edge Components byteLAKE’s Cognitive Services
Edge Computing
3rd Party Software
On-premise / Local Data Center / Cloud Infrastructure
Results
Data Acquisition Data Processing Data Analytics & Process Automation
Visual Inspection
Big Data Analytics

• byteLAKE’s Wet Line Detector for Paper Industry
– Sample size: 200 – 800 images (training), 100 images preloaded to RAM (inferencing)
– Software: DarkNet C++ OpenMP/CUDA framework, YOLO, Python
– AI configuration: Edge AI, 23 CNN layers, 5 pooling layers
– CPU: Intel(R) Core(TM) i5-8500T CPU @ 2.10GHz, OpenVINO
– GPU: NVIDIA Quadro P1000, CUDA
Performance benchmark
AI-assisted Visual Inspection for Paper Industry
Intel CPU
• FPS: 1.33
Intel CPU + OpenVINO
• FPS: 12.54
• Acceleration:
NVIDIA GPU, CUDA
• FPS: 12.39
• Acceleration: 9.3x
>97%
accuracy!
9.4x
Excellent performance with OpenVINO

Optimized for Intel technologies
10x faster
with OpenVINO

Learning and improving over time…
Expert System
AI Model
AI
Model
Update Model
New data processing, calibration, improving
Train & Configure
AI model preparation, neural network configuration
Input Data
Preparation, cleaning, formatting, normalization
AI Model
Update
Time
Constant Improving
AI Model

• Algorithms optimization
– making the most of hardware components
– optimal usage of precious resources
– faster results at the lowest possible energy
consumption
• Detecting shapes & patterns
• Advanced data analytics
• Solutions for IoT/ edge, Cloud and on-premise
configurations
Edge AI
➢ highly optimized AI engines to analyze text,
image, video, sound and time-series data
➢ on-device, local AI inferencing

✓Enables Scalability
(Decentralizes AI services & makes it easier to expand the IoT ecosystems)
✓Enables real-time AI experience
(By using modern low power, high performance, small form factor accelerators)
✓Solves round-trip latencies
(Deploying AI directly on the device enables faster responses)
✓Eliminates intermittent connectivity related issues
(No need for sending the data from the device to external AI services and waiting for results)
✓Reduce total cost of ownership
(AI-enabled devices pre-process the data and send the results to external services vs raw data)
✓Data can stay locally on the device
(Having AI on the device allows for sending the data to external storages selectively)
Benefits of
Edge AI

Key takeaways
• byteLAKE’s Cognitive Services is a collection of Artificial Intelligence (AI) models designed
to address Industry 4.0 and Restaurants needs. Each AI model has been designed and pre-trained
to be razor-focused on a specific job(s), therefore ensuring maximum accuracy.
• Can be re-trained to handle a variety of scenarios related to visual inspection/quality monitoring
automation, products counting, objects recognition and historic data analysis to find hidden answers in
the data (i.e. trends, information about why something happened or what will likely happen and when).
• New AI models are constantly added by byteLAKE which gradually increases the number of
scenarios that can be handled off-the-shelf. To do so, byteLAKE collaborates with a growing number
of industry/manufacturing leaders.
• Cognitive Services is an add-on to existing tools/software and its integration
is a straightforward process (compatibility).
• byteLAKE as single source for all components of the solution (sensors/cameras, edge devices,
servers, data acquisition/processing, deployment, post-delivery customer care etc.)
• Globally available through a growing network of integrators.
• Optimized for Intel technologies (OpenVINO) ensuring compatibility and maximum performance
across various hardware configurations.

Licensing
3 simple steps to deploy AI in your company

1. Cognitive Services standard license consists of 2 elements
a) One-time fee for product training/optimization.
b) Annual license giving access to the product incl. upgrades, customer care/support for 12
months.
NOTE: the goal is to train and optimize the Cognitive Services models so that they address your needs
and deliver value at maximum performance. Typical scenarios include visual inspection and historic data
analytics in order to support future decisions.
2. Cognitive Services extended customization (optional)
a) In case you do not have or cannot generate the data for training, byteLAKE can offload your
teams from this task and prepare the required inputs.
b) The product can be re-trained and customized to a variety of scenarios.
c) The cost is estimated case by case (one-time project fee).
3. Integration and hardware (reselling)
Licensing

• An initial call to discuss the scope
(tasks to be automated, data types, infrastructure requirements, integration etc.)
• Sign NDA
• Generation and review of the initial data for training
• Dataset for training preparation
• Licensing agreement review
• (optional) Cognitive Services extended customization project agreement (scoping)
• Agree on terms and conditions
– deliverables & schedule
• Cognitive Services model training/optimization
• (optional) Cognitive Services extended customization
• Cognitive Services deployment incl. hardware installation
37
Typical project plan
3 simple steps to deploy AI in your company
weeks
1
typically, 1-3 months
2
3

Learn more about the product
LinkedIn Showcase
Blog post series Website:
linkedin.com/showcase/cognitiveservices/
bytelake.com/en/CognitiveServices-toc bytelake.com/en/CognitiveServices
Contact us
CognitiveServices@byteLAKE.com
End-user guide

Meet byteLAKE
Artificial Intelligence for Industries.
Learn more:
CFD Suite
CFD Acceleration
for Chemical Industry
Cognitive Services
Collection of pre-trained
AI models
www.byteLAKE.com
Headquartered
in Poland
Our products
• CFD Suite (AI-accelerated CFD)
• Cognitive Services for Manufacturing
• Cognitive Services for Automotive
• Cognitive Services for Paper Industry
• Cognitive Services for Restaurants
Custom AI software
• real-time analytics of images, videos,
sounds, and time-series data.
• +48 508 091 885
• +48 505 322 282
• welcome@byteLAKE.com

Collaboration
More at:
bytelake.com
“AI already plays a very important role in our daily lives. Nevertheless, many companies still
perceive the application of AI in their business as an addition, not its foundation. The application
of the Intel® Distribution of OpenVINO™ toolkit in byteLAKE’s Cognitive Services shows that
AI works efficiently as an actual tool for optimizing company operations. Moreover, such
a combination reduces the barrier of necessary upgrades to IT infrastructure in the company
to an additional computer forming the basis for the whole system. This is a breakthrough in looking
at AI and its implementation in companies that are able to see the potential in joining the ‘Industry
4.0’ family of businesses,” said Krzysztof Jonak, EMEA Territory Sales Director, Intel.

AI Products (commercialized)
Cognitive Services
Collection of pre-trained AI models
for Manufacturing for Automotive for Paper Industry for Restaurants
CFD Suite
AI-accelerated Computational Fluid Dynamics

Custom AI Software & Incubation
Software Services
AI Workshop Edge AI Cognitive Automation HPC
Incubation
Intel Expertise Alveo Expertise NVIDIA Expertise
brainello Ewa Guard
+48 508 091 885
+48 505 322 282
welcome@byteLAKE.com

AI Partners
Visual inspection
for quality control
Image diagnosis
Improving patient
care
Virtual agents
improving
customer services
Predictive
maintenance for
production up-time
Fraud detection
mitigating losses &
risk
AI use cases
We need
AI!
“I read an article in
Forbes and if we don’t
have an AI strategy,
we’re going to fall
behind the
competition!”
Data sources
Additional
sources
Sensors
Devices
Big Data
AI-enabled
applications
AI
development
Successful AI strategy
AI for Industry 4.0 – blog post series
www.bytelake.com/en/CognitiveServices-toc

Our Research Studies
GO PUBLIC!
More at: byteLAKE.com/en/research

Meet byteLAKE
Artificial Intelligence for Industries.
Learn more:
www.byteLAKE.com
CFD Suite
CFD Acceleration
for Chemical Industry
Cognitive Services
Collection of pre-trained
AI models
Our products
• CFD Suite (AI-accelerated CFD)
• Cognitive Services for Manufacturing
• Cognitive Services for Automotive
• Cognitive Services for Paper Industry
• Cognitive Services for Restaurants
Custom AI software
• real-time analytics of images, videos,
sounds, and time-series data.
+48 508 091 885
+48 505 322 282
welcome@byteLAKE.com