Transport CafeWednesday 21st June 2017
Alex Weedon, Director of Commercial
Transport Systems Catapult
Welcome & Introduction to the TSC
Christian Inglis, Senior Innovation Lead
Innovate UK
Funding calls update
Christian Inglis – Senior Innovation Lead, Infrastructure Systems
Transport Systems Catapult, 21st June
Investment Accelerator Pilot
Vision:
Long term support to
companies to drive
economic returns
Machinery:
Working together
reduces risk and
increases impact
KPIs:
1 Co-create attractive ROI
2 Develop the UK’s Knowledge Economy
3 Drive the UK economy
Opportunity:
Converting great UK
based innovation into great business
& Partners
• By working together we are increasing the chances of the right investment choices being made at the earliest possible stage
• Aiming to provide the runway for later stage capital and equity investment beyond grant funding
• Enable early stage, growing companies to get direct access to the commercial acumen and market access opportunities private sector equity investors provide
• Enable leadership teams to have more time to focus on managing the business rather than continually chasing investment
• Experiment with a new model, learn, check and adjust
The Investment Accelerator aims:
The Investment Accelerator Competition:
• Accelerate the established process – Grant + Match
• This is a pilot programme for Innovate UK
• It provides simultaneous grant funding and venture capital investment for early stage projects
Investment Accelerator Competition – 100% Project Costs
• 2 Streams 1) Infrastructure Systems 2) Health and Life Sciences
• 2 Phases – preferred investor phase and (subject to applicant decision) open phase
• Up to £3M Innovate UK Grant Funding per stream
• Up to £2.5M Match Funding available through Private Equity
• Both Innovate UK and the investor partner must identify a project as fundable before a
grant is offered
• For the investor, this means taking the project forward to the ‘heads of terms’ stage with
the applicant within the competition timeline
• Feasibility study projects up to £150k lasting 3 – 12 months
• 7 Investor Partners have invested £0.93BN over 166 fundraisings in Innovate UK portfolio
companies between 2011 and 2016
Infrastructure Systems Stream
Health and Life Sciences Stream
Key Points:To apply for this competition and lead a project you must:
▪ be a UK based business, or have registered a UK business before point of grant award
NOTE: spin-out UK companies may apply
▪ be a micro, small or medium enterprise
▪ carry out your project in the UK
▪ work alone; that is, the grant funding and investment cannot be split with collaborators
Infrastructure systems
• energy supply and systems
• smart infrastructure
• connected transport
• urban living
Health and life sciences
• agriculture
• biosciences
• advanced therapies
• medical technology
• digital health
Timeline:
• Online brief available 12 April 2017
• Opens for applications 8 May 2017
• Deadline for registration 28 June 2017
• Deadline for applications 5 July 2017
• Notification 10 November 2017
Important links:
• Competition Notice Page:
https://www.gov.uk/government/publications/funding-competition-investment-accelerator-pilot
- Link to briefing document
- Link to guidance for applicants
- Link to information on our partners including:
- What they are looking for in a portfolio company?
- What is their approach to investment terms?
• News Story:
https://www.gov.uk/government/news/accelerating-innovation-with-public-and-private-investment-apply
• Customer Support Service
- Email [email protected]
- Customer Support Service: 0300 321 4357 (Mon-Fri, 9am-5:30pm)
Infrastructure systems
• smart infrastructure
• energy supply and systems
• connected transport
• urban living
Systems under pressure
Smart infrastructure
• Innovations that develop smart, resilient and sustainable integrated infrastructure. We are looking for innovations that add intelligence to our programmeareas to:
– improve functionality, capacity, productivity, security or whole-life performance
– improve resilience and sustainability and reduce the risk of failure
– reduce whole-life costs or environmental damage (such as air pollution)
Energy supply and systems
• Innovations that improve value proposition, energy affordability and security, and reduce carbon emissions. – energy supply solutions, such as
carbon abatement, renewable energy technologies, nuclear power and hydrogen and fuel cells
– solutions that flexibly match energy supply and demand, such as storage, grid balancing and integration of micro-energy generation
– solutions that optimiseperformance across different energy vectors (the competition is not limited to electricity)
Connected transport
• innovations that improve network capacity and efficiency and reduce operational cost, through balancing demands for transport infrastructure and connecting different transport modes, people and goods
• better services, flexibility, reliability and safety through greater system intelligence in existing transport networks
• systems integration to enable sustainable transport
Urban living
• citizen-centric solutions to challenges experienced in urban environments, leading to better health and wellbeing, increased productivity and higher resilience to change and system shocks
• urban living solutions that integrate ‘hard’, ‘soft’ and/or environmental systems:
– ‘hard’ systems such as energy, transport, waste, water and communication
– ‘soft’ systems such as security, law, justice, health, wellbeing, social care and education
– environmental systems such as parks and other green spaces, rivers and canals
Out of scope
• building fabric, white goods and vehicles
• transport innovations that can only be applied to a single mode of transport, such as automotive, rail, air or marine vehicles or vessels. Although the initial activity may concentrate on a single mode of transport, there must be the potential to connect infrastructure, people and goods using additional transport modes
• urban living applications that do not bring about better health and wellbeing, increased productivity or higher resilience to change and system shocks
Other opportunities
• Open programme round 3– £15m to deliver game-changing, cutting-edge innovations with significant potential
impact on the UK economy– Opened 12th June– Closes 9th August– https://apply-for-innovation-funding.service.gov.uk/competition/search?page=1
• Infrastructure systems Round 3– £15m to develop innovative solutions to challenges in infrastructure systems– Projects longer than 12 months or over £100,000 must be collaborative with other
partners– Involve at least one SME– Opens 10th July– Closes 13th September– https://apply-for-innovation-funding.service.gov.uk/competition/22/overview
• Briefing events – 4th July, Glasgow. 6th July, Portstewart. 11th July, London– 13th July, Leeds. 18th July, Cardiff, 20th July, Exeter
Michael Vardi, Co-founder and CBO
Valerann
SME Pitch – Session 1
Introducing CavLab
A Pod Equipped to Sense & Respond to the Environment
Environment Sensors ROSCommand of
Vehicle Pod
Response
GP
S/I
NS
LID
AR
Ste
reo
Cam
era
Mo
bil
eye
Cam
era
A B C D
B B B
A A
C
DA A
C
B
A
AA
A
Omnistar
GPS
antenna OxTN xNAV
550
Garmin GPS antenna/receiverOmnistar
GPS
antenna
Modular Architecture - Robotic Operating System
LIDAR Point Cloud
auto demand
location
localiser
pathpath replay
location
OXTS xNav 550
TCP/IP
pod demand
control switch
pod demand
drive by wire
joy
joy node
USB
Xbox controller
pod demanddemand limiter
pod demand
dead mans handle
pod speed limit
Dead Man s Handle
pod state
auxiliary switchaux demand
aux demand
aux demand
udp to topic
udp packet
oxts xNav550
gps/fix
gps/odomgps/vel
imu/data
Pod Specific nodes
mobileyenode
socket can bridge node
can rx
Mobileye
CAN
mobileye
camera 1394
driver common
Bumblebee
Firewire
bumbleebee xb3
compressedimages
ibeo message
node
ibeo message
ibeo Fusion
TCP
ibeo
ibeo/fusion_scanibeo/point_cloud
ibeo/fusion_object
Safety, Legal Approval and Data
Route selection to inform Risk assessment and hazard analysis
Road signs were located at
all potential vehicular
access points on the route.
We have a toy…
Come and play.We’ll all have more fun if we share our toys.
Transport Systems Catapult
The Pinnacle
170 Midsummer Boulevard
Milton Keynes
MK9 1BP
T +44 (0)1908 359 999E [email protected] ts.catapult.org.uk
Servando German Serrano, Technologist
Transport Systems Catapult
AV Technologies Online Course
CAV Technologies Online Course Initiative
• Bring UK Universities and Industry together to build a masters-level online course on Connected and Autonomous Vehicles.
• Develop a course with a stronger practical component linking the contents to industry needs.
• Address the forecasted skills shortage by increasing the quality and quantity of CAV skills.
CAV Online Course
Academia
•Expert knowledge.
•Course content development.
•Course operation.
TSC
•Oversight of course development.
•CavLab.
•Link Academia and Industry.
Industry
•Contribution to course contents.
•Access to potential recruits.
Background
•There is a worldwide interest in CAVs and Intelligent Mobility.
• The Intelligent Mobility market is estimated to grow to £900 billiona year by 2025.
•There is a potential skills gap of 742,000 people in Intelligent Mobility by 2025 in the UK with a cost of £50 billion per annum to the UK, as pointed out by the IM Skills report with contributions from:
• The University of Aberdeen
• Cranfield University
• De Monfort University
• Heriot-Watt University
• University of Leeds
•Disruptive high value digital skills are in short supply, with new skills needed for the development of the technology around CAVs.
• Loughborough University
• University of Nottingham
• The University of Sheffield
• University of Southampton
Background
• Massive Open Online Courses (MOOC) have become an easy and accessible resource to get specific knowledge on highly technical areas such as Artificial Intelligence or Computer Vision.
• Opposed to classic university courses, these courses can be accessed from anywhere around the globe.
A good example: Udacity Self-Driving Car Engineer Nanodegree
• 1000 seats available
• 1912 applicants
January 2017 intake
• 1500 seats
available
March 2017 intake
• 1500 seats
available
July 2017 intake
• $2400 per seat with prior knowledge required to be enrolled.
• Developed in partnership with:
$2.4M
$3.6M
$3.6M
A good example: Udacity Self-Driving Car Engineer Nanodegree
• Hiring agreements with industry partners.
Potential Industrial Partners
Potential areas that can be covered
CAV Technologies
Online Course
Computer vision
…
Path Planning
Localisation
Navigation and Control
CAV Technologies Online Course Initiative: TSC’s Contributions
• It is TSC’s remit to bring closer together UK academia and industry, hence our aim to enable close collaboration and provide guidance on the overall objective of developing a world-class online course.
• Science and Technology Advisory Board: it is TSC’s intention to create a new advisory board to help improve its foresighting capabilities. It is expected that this group will support the development of the online course and act as an external board to assess and aid with the course development progress.
• Automated Vehicles Development and Integration Facility: TSC’s CavLab can be used for the collection of real-life data and testing some of the teachings from the online course.
Transport Systems Catapult
The Pinnacle
170 Midsummer Boulevard
Milton Keynes
MK9 1BP
T +44 (0)1908 359 999E [email protected] ts.catapult.org.uk
Mark Taylor, Senior Technologist
Transport Systems Catapult
Cranfield working with the TSC on Multi-User Environment for Autonomous Vehicle Innovation (MUEAVI)
MUEAVI – MULTI USER ENVIRONMENT forAUTONOMOUS VEHICLE INNOVATION
MARK TAYLORDATE: 21ST June 2017
• Both open and closed facility test environment
Agenda
• Introduction to MUEAVI• Facilities animation • Overview of activities
What is MUEAVICanfield University are developing a 9 million capital investment project to create an open innovation infrastructure for Autonomous Vehicle development
VISION:
• A Connected and Autonomous Vehicle test bed to develop automated and autonomous control systems in the physical and virtual world, representative of an urban city with controlled and public environment, interacting with the campus population
CAPABILITIES:
• Both open and closed facility test environment
• Reconfigurable features enabling diversity of testing
• Managed test environment
Overview MUEAVI
TSC RolePROGRAM MANAGEMENT:
• Stakeholder management• Integrating facilities requirement• Developing usability models, including:
o Safety frameworko Insuranceo Legalo Access agreements
TECHNICAL DIRECTION:• Comparison of similar facilities worldwide• Concept layout• Instrumentation
TIMELINE:• Available in the autumn of 2017
Transport Systems Catapult
The Pinnacle
170 Midsummer Boulevard
Milton Keynes
MK9 1BP
T +44 (0)1908 359 999E [email protected] ts.catapult.org.uk
Thank you
Mark Taylor
Steve Newbury
Williams Advanced Engineering
Williams Foresight EIS Fund
Foresight Williams Technology EIS Fund
Private & Confidential
© Foresight Williams Technology EIS Fund 47
Important Notice
Issued by Foresight Group LLP, The Shard, 32 London Bridge Street, London, SE1 9SG. Foresight Group is authorised and regulated
by the Financial Conduct Authority. This document is not an offer or invitation to apply for shares in Foresight Williams
Technology EIS Fund nor does it solicit any such offer or invitation. Applications for investment in Foresight Williams Technology
EIS Fund may be made only on the basis of and using the application form contained in the information memorandum, copies of
which are available from Foresight Group LLP.
No reliance is to be placed on the information contained in this document in making any such application. Foresight Group is
acting for the Foresight Williams Technology EIS Fund and no one else, and will not be responsible to anyone other than the
Foresight Williams Technology EIS Fund or providing the protections afforded to customers of Foresight Group nor for providing
advice.
Investment in unquoted companies, by its nature, involves a higher degree of risk than investment in companies traded on the
main market of the London Stock Exchange. The value of investments in the Foresight Williams Technology EIS Fund and the
income from them can fluctuate and an Investor may not get back the amount originally invested. The past performance of the
funds managed by Foresight is not necessarily an indication of the future performance of the Foresight Williams Technology EIS
Fund. Tax reliefs available depend on an individual’s circumstances and are subject to change.
48© Foresight Williams Technology EIS Fund
Past Successes Present Projects
Williams Advanced Engineering: Summary
The technology and engineering services business of the Williams Group
49© Foresight Williams Technology EIS Fund
Wide range of customers
Operating since 2010
Example projects
Over 200 staff dedicated to Williams Advanced Engineering
WAE capabilities include aerodynamics and thermodynamics, lightweight
structures, mechanical, electrical and electronic design.
WAE services include design, analysis, simulation, testing, prototyping, assembly
and low volume manufacture.
Access to Williams Group facilities: wind tunnels, CFD cluster, test rigs, additive
manufacturing suite and precision machining, conference centre.
Customer base includes automotive, motorsport, aerospace, defence, healthcare,
sport science and energy sectors.
Broad range of clients operating internationally including JLR, Thales, BAE Systems,
and Brompton Bicycle.
40 projects for 20 different customers.
Williams Hybrid Power –
incubation of composite flywheel
energy storage technology - sold to
GKN plc in 2014
Jaguar C-X75 hybrid supercar - also
featured in James Bond film
SPECTRE
Formula E– design and manufacture
of batteries for FIA Formula E series
E-hub – design and development of
electric hub for Brompton Bicycle
Karen Darke Rio 2016 handcycle
Foresight Williams Technology EIS Fund
Introduction
50© Foresight Williams Technology EIS Fund
A unique concept and a first in the EIS market place
Target companies pre-revenueor post -revenue/pre profit
Williams brings technical and commercialisation know-how, and key industry relationships
Foresight brings a long track record of success in early stage businesses to the EIS market
“Our core investment strategy is to invest in companies with disruptive and innovative technologies and to target opportunities where Williams Advanced Engineering’s technical, commercial and promotional support may offer a distinct advantage to investee companies”
Investment Strategy: Approach & Focus
Venture Investing
51© Foresight Williams Technology EIS Fund
Pre revenue or post revenue/pre profit
Technically experienced management team
Disruptive and/or innovative technologies
Market potential > £75 million
Williams value add – commercial, technical, promotional support
Commercialisation possible 3 – 5 years time
10x plus return potential
Investment criteria
The Foresight/Williams Focus £0.25m -
£2m investment
s
)
Smaller high
growth companie
s
) Growth capital
only)
Early stage
technology focus
UK based (or UK
coverage))
Technology Maturity
Technology Readiness Levels and Stages of Commercialisation
52© Foresight Williams Technology EIS Fund
When we look to invest
Up to £2.0m invested in stages
53© Foresight Williams Technology EIS Fund
SeedFirst Investment£250k - £500k
Pre-revenue
TRL: 4-6Technology developedIP capturedPrototype/MVP built
Technical leadership
Series AFirst or Follow-On£500k- £1.0m
Revenues, pre-profit
TRL: 6-8Launch product builtMarket entryEarly adopter customers
Commercial leadership
Growth CapitalFollow-On£1.0m-£1.5m
Revenues, profitable
TRL: 8-9Product/market extensionMarket shareBroader customer base
Strategic leadership
Where we look for companies to back
Universities, Research Facilities, Innovate UK, Catapults, Corporates, Angel Groups, Accelerators
54© Foresight Williams Technology EIS Fund
Foresight & Williams Collaborative Working
Working together to add value
55© Foresight Williams Technology EIS Fund
Fund administration and communication
Transaction support and investment negotiation
Sourcing Non-Executive Chairmen/Directors
Co-investment sourcing
Exit planning
Board Representation
Fundraising
Proprietary deal flow and sourcing of investment opportunities
Developing strategic alliances
Ongoing investee company technical & promotional support under a Master Services Agreement
Technical and IP due diligence for each investment
WILLIAMSResponsible for
FORESIGHTResponsible for
Summary
Foresight Williams Technology EIS Fund
56© Foresight Williams Technology EIS Fund
Investments in UK unquoted companies supporting early-stage disruptive technology
Unique collaboration between two leaders in their
respective fields
Investment into disruptive technologies supporting
innovation, job creation and technology advancement
Up to £2m invested into EIS qualifying companies with early
stage disruptive technology
Added value from Williams and Foresight: technology,
fundraising and investment
For further information contact:
Steve Newbury
© Foresight Williams Technology EIS Fund 57
SME Pitches – Session 2
Robin North, CEO
Immense Simulations
We create large-scale simulations.
Detailed. Persistent. Predictive.
Just imagine what we can create
together...
Data-driven
simulations
require an
ecosystem
Accelerate
testing and
adoption
Access to data sources
Software connections
Prototyping to inform
business cases
Idea into
Market02. InnovateUK collaborative R&D
01. Exploratory PoC
03. Pilot applications in market
Thank youDr. Robin North
www.immense.ai
Let’s collaborate
Alex Lawrence-Berkeley, Head of New Projects
Sense Media Group
RoboKart
Jason Eden, Founder & CEO
SAFR (Sleep and Fatigue Research Ltd)
June 17 SAFR Ltd 70
Private Motorists
Transport Companies
Insurers
Trials with Transport Companies
Research Opportunities and Funding
Commercial and Consumer Motor
Insurers
Integration with Truck and Car Manufacturers
Investment and Grants
Contact: [email protected]
Contact: [email protected]
Dr. Rahat Iqbal, CEO
Interactive Coventry
Interactive Coventry Ltd is a subsidiary of Coventry University
Interactive Coventry
- Interactive Coventry specialises in cutting edge artificial intelligence algorithms, machine learning, IoT, computer vision, big data analysis and human behavior theories.
- A UK registered company, providing its customers with:
- Customised multi platform solutions to empower them with innovative technology and
outstanding customer services
- Personalised connected solutions by developing and optimising services to promote
social and economic change for better quality of life
Technology Strength: Novel Machine Learning Models and Patented Technology
- Interactive Coventry’s patented methodology
- Based on deep learning approaches for spatial-temporal modeling
- A multi-purpose intelligent data analysis and decision support system
- Designed for use in a variety of industrial and commercial areas
- Through the use of artificial and computational intelligence, the approach executes two main functions:
1. Accurate analysis and modeling of past data
2. Precise forecasting of future events based on the analysis
- Allows users to make more informed decisions regarding matters of importance
The Model’s Abilities
- The Novel Model is capable of studying complex data in terms of both space and
time
- Allows it to provide better insights about cause-effect relationships
- It analyses and models data in real-time in order to forecast future outcomes
- It can even predict abnormalities in the data based on the analysis of deviation patterns
- The Model can also be modified to handle uncertainties affecting a process
- All of this translates into reduced process times and increased efficiency and
productivity for users
Industrial fault diagnostic and early warning system
• Problem Scope
• Timely detection of faults is necessary to ensure:
• Safe operation of machines
• Minimise production losses
• Control process flow
• Optimise production output
• Ensure high quality of products
• Operational Data
• A typical automated production line contains:
• 20 assembly and inspection stations, each with 200 digital inputs, 30 analogue inputs and 3
audio/visual inputs generated by microphones/cameras
• Over 300 tests performed on over 1000 product variants
• Each station controls around 50 different actuators and valves necessary to correctly
manufacture a product
• Total of 15 manufacturing production lines
• Each manufacturing around 1500 parts a day, which need to be 100% inspected
Industrial fault diagnostic and early warning system
Performance
• The model has a proven record of successful performance
in complex data centric manufacturing processes
• The performance of the model was compared with a
number of rival methods
• Proved its superior generative and predictive
performance
0%
20%
40%
60%
80%
100%
(InteractiveCoventryPatentedMethod)
Other DeepLearningmethods
Templatebased method
Rule-basedmethod
Bayesianbased method
Faults in product Faults in equipment Configuration fault
Benefits
• Outperforms industrial benchmarks for fault
detection/isolation
• Achieves reduction in
• Human resource (80%)
• Machine downtime (12%)
• Production of scrap yield (8%)
Object Detection and Recognition
IC has developed a novel algorithm based on deep learning algorithm
(filing patent) and tested on can coder stamp detection and Optical
Character Recognition systems. The application can be used for:
- Number plate recognition,
- Road sign detection,
- Road surface recognition
- Facial recognition
Industrial Computer Vision
Scope
- Detect and recognize characters located within the stamp printed on a food can.
- (this can be generalised to other object detection such as for self driving car etc)
Problem statement
The current industrial application is not able to:
- reliably detect text in certain X/Y coordinates and rotation ranges.
- accurately detect text with varying scale and skew,
- cope with high degree of noise, distortion and light variation.
It leads to low first time yield / poor quality, production downtime
Industrial Computer Vision
Identify the position of a print stamp
Find specific pattern in the print stamp
Locate characters
Recognize characters
Industrial Computer Vision
The performance of the proposed solution has been compared to current vision system based
on Cognex VisionPro
The solution has been developed for a dedicated industrial PC (fan-free embedded
Microbox PC SIMATIC IPC427E).
Cognex VisionPro Interactive Coventry
Ltd solution
Speed 83ms 61ms
Accuracy 76.8368% 99.9936%
Prediction Showcase – New York Taxi Data
Taxi Congestion Optimisation
- Problem Definition
- How to pick up passengers more efficiently
- Based on identifying demand for taxi services within urban locations
- While optimizing fleet routing and distribution
- In order to improve urban traffic conditions w.r.t.
- Availability,
- Waiting and journey times,
- Fuel economy
- How to satisfy personalsied and contextualised user defined objectives w.r.t.
- Improving user mobility utility
- User satisfaction and happiness
- Helping to avoid congestion
Natural Language Processing for Large Scale Database(Case study 5)
• IC has developed a novel human-computer interaction platform for natural language processing
• The tool is able to translate over 90% Natural Language Queries (with many variations) into correct SQL statement
• The application can be used in the conjunction with Ambient intelligence and smart applications
• The tool can be applied to social media posts and reveal the recipient's sentiment.
Social media posts are subject to demanding challenges related to the processing of unstructured and natural text.
IC’s powerful semantic, syntactic, and synonym mapper able to translate the text from social media posts into a concept
related to the user's sentiment.
Perform Natural Language Processing
and use WordNet
Preform template query match and similarity
analysis
Machine Readable Data
SQL Query Output
Dynamically extract structural database
information
Data LayerInput Layer
Data Transformation Layer
Modelling Layer
Application Layer
Natural Language
Query
Modelling and Optimisaiton
Our smart application areas
Data Science & AI
Early in vehicle fault detection systems
In vehicle sensors deliver huge amount of data which is currently used in a very limited way. By designing intelligent algorithms IC can
deliver solutions that would analyse the data in real-time and predict / identify potential faults in vehicle. Such system could potentially
warn a driver before fault occurrence and in some circumstances help to avoid accidents.
Route Prediction and Optimization
IC specializes in predictive modelling. The historical data of driver’s destinations can be used to predict future travel
directions. Using this knowledge a vehicle can adjust the performance of a car intelligently for the predicted route. This
would reduce the fuel consumption and increase the driver’s experience. We carried out project in collaboration with JLR
on route optimisation - self-learning car initiative.
Computer vision
Modern cars are very often equipped with at least one vision sensors. Those sensors can be used to provide an informed
feedback to a driver about the driving conditions. IC with its extensive experience in computer vision can develop a number
of custom build vision systems such as for example: obstacle detection, sign detection and identification, lane detection and
many more computer vision systems that can help a driver to better asses the situation on road.
Our smart application areas
Data Science & AI
Drivers behaviour analysis
The many in-vehicle sensors currently installed in modern cars can be used to analyse a behaviour of driver. IC offers to develop a
custom build system that would analyse a behaviour of driver from various sensors (Visible light camera, CAN, Audio and other). This
information can be used in a number of ways: to identify a current driver, in preventing a theft, identify when a driver is distracted or
tired. An application of such system apart form an obvious increase in driver safety and comfort can help in marketing a car.
Connected vehicle
Cars which are equipped with an Internet access, undoubtedly introduce many opportunities for car manufactures. The
potential of storing and using the data to analyse many aspects of car performance both on-line and off-line is huge. This
however poses a challenge of how to analyse and find important patterns in this ocean of data efficiently. Interactive
Coventry offers to develop a custom build platform which helps to analyse the data and provides an important insight which
can help to truly understand the meaning of the data.
Our smart application areas
Data Science & AI
Data driven cyber-security
Although the concept of connected cars brings many opportunities it comes at a cost of cyber-security risk. By analysing a data flow to
and from a car we can identify a suspected behaviour and in consequence warn and isolate it. Interactive Coventry offers to develop
such dynamic and secure systems. Our patented algorithm is capable of analysing big volumes of data to identify abnormal /
suspicious activity in real-time.
Detection of road surface
Although many in vehicle sensors are mounted to perform a specific task, they can be used in combination to perform
unintended novel tasks. The usage of already mounted sensors helps to improve drivers experience with no additional
costs. Interactive Coventry proposes to develop a system capable of identifying a road surface with a use of sensors that
are already installed in a car. The information of road surface can be used to adjust car performance thus reduce
maintenance and running costs.
Our smart application areas
Data Science & AI
Car performance optimization
Modern vehicles generate massive amount of data which is rarely used to optimise car performance. Interactive Coventry offers to
create a system which can help to optimize the performance of a car based on available data. This can help to reduce running costs
and make cars more environment friendly.
CCAV Eco-System
Alfie Jackson, Strategist
Transport Systems Catapult
Q & A
Close
Alex Weedon, Director of Commercial & Legal
Transport Systems Catapult
1:1s / Coffee / Networking