Transport Cafe - Amazon S3 · Investment Accelerator Competition –100% Project Costs • 2 Streams 1) Infrastructure Systems 2) Health and Life Sciences • 2 Phases –preferred

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)

https://www.gov.uk/government/publications/funding-competition-investment-accelerator-pilot

https://www.gov.uk/government/news/accelerating-innovation-with-public-and-private-investment-apply

mailto:[email protected]

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

https://apply-for-innovation-funding.service.gov.uk/competition/search?page=1

Michael Vardi, Co-founder and CBO

Valerann

SME Pitch – Session 1

CavLab

Dr Dave Barnett

Senior Technologist

[email protected]

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.


The Pinnacle

170 Midsummer Boulevard

Milton Keynes

MK9 1BP

T +44 (0)1908 359 999E [email protected] ts.catapult.org.uk

[email protected]

Servando German Serrano, Technologist


AV Technologies Online Course

CAV TECHNOLOGIES ONLINE COURSE

SERVANDO GERMAN [email protected]

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.


The Pinnacle


Milton Keynes

MK9 1BP


Mark Taylor, Senior Technologist


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


The Pinnacle


Milton Keynes

MK9 1BP


Thank you

Mark Taylor

[email protected]

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


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


Introduction


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


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


When we look to invest

Up to £2.0m invested in stages


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


Foresight & Williams Collaborative Working

Working together to add value


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



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

[email protected]

© 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


Identify the position of a print stamp

Find specific pattern in the print stamp

Locate characters

Recognize characters


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.


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.


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.


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


Q & A

Close

Alex Weedon, Director of Commercial & Legal


1:1s / Coffee / Networking

Transport Cafe - Amazon S3 · Investment Accelerator Competition –100% Project Costs • 2 Streams 1) Infrastructure Systems 2) Health and Life Sciences • 2 Phases –preferred

Documents