Comment un tableau de bord smart City peut être au service de la performance publique ? Comment maintenir la participation du citoyen et éviter une approche utilitariste ? Comment créer une plateforme collaborative permettant aux différents acteurs de s'investir dans des missions de service public ? Telles sont les questions qui se jouent. L'exploration de ce sujet repose sur une idée simple, selon laquelle les élus, les services de la ville, les entreprises et les citoyens doivent construire ensemble une ville plus intelligente.

1. THE VISION DESIGNERS

2. THEVISION DESIGNERS
A high tech spin-off from one of the French main Research Organization,
Centre National de la Recherche Scientifique (CNRS), at CerCo, the Brain
& Cognition Research Center.
An original angle on information processing in the brain, that succeeds in
proposing a disruptive technology for artificial vision.
A core technology with small footprint,scalable, easy to use, fast and
efficient pattern recognition.
Active all over the world with more of 80% export sales in different
business sectors :
SECURITY – ITS – MEDIA ANALYSIS – GAMING - MACHINEVISION &
ROBOTICS
Asia (China, Singapore, Malaysia),Australia, North America, Europe.
Innovative Image &Video Analytics solutions using a breakthrough
technology for pattern recognition in real-time based on Spiking Neuron
Network.
BIOLOGY INSPIRED
NEUROCOMPUTING
ASYNCHRONOUS SPIKING NEURON NETWORK
HUMAN VISION STRATEGIES
SINCE 1988
FEED FORWARD
TEMPORAL CODING, RANK ORDER
VISUAL PATTERN MATCHING
LEARN
SUPERVISED - UNSUPERVISED
LEARNING
DETECT
RECOGNIZE
ANY VISUAL PATTERN, OBJECT
REAL-TIME
MEMORIZE

3. THEVISION DESIGNERS
Since the beginning of 2010, technology trend shows high interest in
Neurocomputing and Artificial Intelligence (US DARPA program SYNAPSE,
EU Human Brain, Google Brain).
SPIKENET builds already operational solutions for the industry with a proven
artificial intelligence technology based on spiking neuron network.
Market forVision Systems with traditional Image Analysis solutions is
growing. More requirements for video analytics in all domain (CCTV,
MachineVision), need for more automation, etc.
SPIKENET is all about Neurocomputing, ArtificialVision, Deep
Learning since the 80s and, most of all, we deliver products.
High investments in the recent years in ROBOTICS but robot vision systems
are still limited.
What if Robots can really see and understand what it sees by itself.
What if SMARTPHONES have simulated neuron network in order to
recognize faces, objects, the scene, identify the user environment (Qualcom).
The crave for Image Analysis
and Robotics companies
acquisition
GOOGLE
NEVEN VISION
PITTPATT
VIEWDLE 45M USD
LIKE.COM
DNN RESEARCH Inc.
DEEP MIND TECHNOLOGIES
800 MUSD JETPACK
DARK BLUE LABS
VISION FACTORY
BOSTON DYNAMICS
SHAFT INC.
INDUSTRIAL PERCEPTION
REDWOOD ROBOTICS
MEKA ROBOTICS
BOT & DOLLY
FACEBOOK
FACE.COM
INSTAGRAM 1 BILLION
RECREC
100M USD

4. THEVISION DESIGNERS
Get a new class of provenVision technology with a large spectrum
of use cases.
Enrich your existing products with smart vision capabilities.
INNOVATION
KEY ADVANTAGE AGAINST
COMPETITION
ENRICH EXISTING
PRODUCTS
DESIGN
NEW
PRODUCTS
Design new products for everyday life.
CREATE THE
SMART
VISION
FUTURE
Spikenet, a technology to capture theValue from the Big Data
Image world, for today and tomorrow.
SHAPING THE FUTURE WITHYOU
Prepare the future technology disruptions:
- Camera with spiking retina and unsupervised learning process
- Neuromorphic chipset

5. THEVISION DESIGNERS
Process of automatic extraction of
information from an image using image
processing algorithms.
COLOR
Histograms
CONTOUR
Edge, Sobel, Canny…
SEGMENTATION
Erosion, Dilatation, …
Motion Extraction
Image difference
Key Points
Extraction

6. THEVISION DESIGNERS
Spikenet’sTechnology comes from
BIOLOGY and NEUROSCIENCE
COMPUTING
ARTIFICIAL
VISION
Image content
understanding
RECOGNIZE
Identification, Classification
NEW MODEL OF NEURON NETWORK
Temporal coding, Feedforward, Rank coding
LEARN MEMORIZE
DETECT

7. THEVISION DESIGNERS
Speed : detection and recognition time in milliseconds for a pattern. Over
2000 patterns in one second on a standard PC with no dedicated hardware.
Accuracy : recognition of exact image and similar patterns with controllable
selectivity.
Robustness to image alterations: detection stability against noise, blur,
occlusion, variable lighting conditions, image vibrations. Perfect for low
resolution, real life images conditions, still and moving camera, outdoor
constraints.
Detection Sensitivity: recognition of visual patterns as small as 30x30 pixels
while classic approach by key points extraction (Sift/Surf) requires bigger
size image.
30x30 PIXEL MODEL
RECOGNITION IN MILLISECONDS
VERY SMALL FOOTPRINT
30000 SOURCE CODE LINES CORE ENGINE
AVAILABLE FOR ARM CHIPSET
CAN RUN ON MOBILE PHONE
SMALL SIZE PATTERN RECOGNITION
STILL PICTURE – LIVE VIDEO STREAM
ONLY 2K BYTES PER MODEL
LEARN ANY PATTERN

8. THEVISION DESIGNERS
Video input : from low cost webcam, to high end industrial camera (high
resolution, fast frame rate). Support for USB, IP, GigE, ieee1394 camera
interface. Different bandwidth: visible, IR, UV
30x30 PIXEL MODEL
A kernel for pattern learning and recognition with only 30000 lines source
code ANSI C++ representing about 600k bytes binary.
Simple and efficient spiking neuron net model can work without floating
point computation. Full integer computing version available on entry level
chipsets.
A spikenet model for recognition weights maximum 2k bytes. Thus millions
of models over thousands of objects can be stored on simple SD card. RECOGNITION IN MILLISECONDS
VERY SMALL FOOTPRINT
30000 SOURCE CODE LINES CORE ENGINE
AVAILABLE FOR ARM CHIPSET
CAN RUN ON MOBILE PHONE
SMALL SIZE PATTERN RECOGNITION
STILL PICTURE – LIVE VIDEO STREAM
ONLY 2K BYTES PER MODEL
LEARN ANY PATTERN

9. THEVISION DESIGNERS
COMPETITION SPIKENET TECHNOLOGY
ComputerVision world using classic signal analysis
functions to process an image.
ArtificialVision technology inspired from biology
mimicking human vision process.
Little use of neuron network or use of the classic
model for neuron net based on frequency coding
with feedback loop processing.
Unique and innovative way of modeling
asynchronous spiking neuron network using
temporal coding and feedforward architecture
A pattern in computer vision world is generally
characterized by its key points extraction (SIFT).
Spikenet model of an object is constituted of its
main orientations (saliencies) and their associations.
One different imaging process for each task
face OR number plate OR simple shapes detection.
One cannot for example take a solution for face
detection and try to learn car shape for detection other
targets than face.
Capability of learning any visual pattern (face, car,
logo, user pattern, 2D, 3D objects, etc.)
Generic technology can learn anything.
Truly cognitive, i.e. capable to learn and interpret.
All by one same unique engine!

10. THEVISION DESIGNERS
COMPETITION SPIKENET TECHNOLOGY
200kb of memory for a model (pattern) descriptor 2kb only for Spikenet model
Most of existing video analytics are based on
motion detection and extraction.
Capability to detect and recognize a pattern even in
still picture.
Key points approaches requires much larger size
picture (thousands to mega pixels).
Capability of learning a visual pattern even with very
little size of only 30x30 pixels (down to 20x20).
No capability of live dynamic learning of pattern. Capability of learning a pattern either off line (pre-
processing) from an available set of pictures of the
pattern, but also capability of dynamic learning of a
pattern in live video flow.
None Unsupervised learning process.

11. THEVISION DESIGNERS
COMPETITION SPIKENET TECHNOLOGY
One to several seconds are required from keypoints
extraction to matching on dual core PC.
Detects and recognizes a pattern in less than 10
millisecond.
Machine vision solutions require constraint lighting
sources and performs badly outdoor.
Very robust to noise, blur, low contrast, changing
lighting conditions, works in natural scenes.
Most performing image recognition engine have big
footprint.
A kernel engine of 30,000 lines of source code.
Computation intensive with floating point
operations.
Can use integer only.Works on simple ARM9.

12. THEVISION DESIGNERS
AIRPORT
SECURITY
ADVANCED
VIDEO
ANALYTICS
SECURITY
POLICE FORCES
SAFE CITY
GAMING
MEDIA
ANALYSIS
MOBILE
DEVICE
MACHINE
VISION
HUMAN
SAFETY
ITS
EMBEDDED
VISION
SENSOR
KEY REFERENCES
FRENCH GOVERNMENT
BORDEAUX AIRPORT
SCOTLAND YARD
GENEVA AIRPORT
SHANGHAI POLICE
SIEMENS VAI
ARCELOR MITTAL US
AIRBUS DEFENSE &
SPACE
COFELY INEO – GDF SUEZ
POLICE FORCES
INTELLIGENCE SERVICES
BORDER POLICE

13. THEVISION DESIGNERS
SNVISION : the image recognition engine capable of learning and detection of any
visual pattern in real time in still pictures and from video streams.
MIND: the video indexing engine to generate unique signature per image and to
recognize one image among +100 Millions in one second on simple PC.
OBSERVER: the live video processing solution with selective detection and alarm
based on pattern recognition and not only motion detection. OBSERVER is
currently applied in video surveillance applications as well as machine vision
systems.
AGATHA: the datamining system for automatic extraction of visual patterns (face,
car, user defined objects), meta data generation, album creation, and pattern
matching.
LISA: Facial Biometry solution for matching 1 face picture against Millions in one
second.
REBECA: Rebar electronic counting automation system for steel industry.
eRIS: Detection of potential danger for human operator in hazardous environment.
OBSERVER
AGATHA
LISA
REBECA
E-RIS

14. THEVISION DESIGNERS
August 2012, after one year trial, Spikenet has been awarded a contract
from Bordeaux International Airport for its innovative video surveillance
solution SAM, capable of selective alarm based on pattern detection (human,
vehicle, aircraft).
→ OBSERVER is currently deployed to watch over all aircraft parking stands to
detect illicit intrusion. It has reduced by 80% the false alarm rate generated by
existing intrusion detection system (BOSCH) which is based only on motion
detection.
→ Other customers using OBSERVER include Geneva International Airport, Sita-
Suez Environment.
All existing video surveillance
solutions are based on motion
detection.
Motion detection generates a
lot of false alarms.
The machines do not
understand what it see.
Bordeaux Airport system was
generating +1200 false alarms
per month.
Only object recognition can
filter good from bad alarm.
SAM allows all movements
except illicit intrusion.

15. THEVISION DESIGNERS
15
SAM
IntelligentVideo Analytics for your CCTV
SECURITY
SAFETY
Facilitation
Flow Management
The uniqueVideo Analysis system based on image
recognition and not only motion detection.
Combined analysis of pattern and motion in real-
time.
Selective alarm strategy upon identification of
moving target.
Flow management: people, vehicle, aircraft.
Crowd estimation.
Queue management
Surveillance of critical areas.

16. THEVISION DESIGNERS
Plug & Play.
Use existing CCTV
camera & network.
No change in your
infrastructure.
Modularity.
Maintenability.
Flexibility.
Scalability.
As many AGENTs
and MANAGERs as
needed.

17. THEVISION DESIGNERS
Association
Camera – Functions
– Operator
« à la carte »
Capability to import
3rd party analytics.
Cam/OP OP 1 OP 2 OP 3 OP 4 OP 5
Camera 1
fonction 1
fonction 2
Camera 2
fonction 1
fonction 2
Camera 3
fonction 1
fonction 2
fonction 1
Camera 4
fonction 1
fonction 2
fonction 2
Camera 5
fonction 1
fonction 2
fonction 3 fonction 3
Camera 6
fonction 1
fonction 2
fcnction 3 fonction 4
Caméra 7 fonction 3
Caméra 8 fonction 3 fonction 5
. fonction 3 fonction 5
. fonction 5 fonction x
. fonction x
Caméra N fonction x
F1 : intrusion detection per motion.
F2 : aircraft parking surveillance
F3 : people detection.
F4 : face detection with/without blurring
option.
F5 : people flow estimation.
F6 : vehicle flow estimation.
F7 : people counting with gender
estimation.
F8 : vehice count.
F9 : number plate recognition
Fx…

18. THEVISION DESIGNERS
Existing facial biometry
solutions are based on key
points extraction.
Our brain recognizes by
appearance not keypoints.
LISA allows variations in pose,
eyes, face expression,
illumination, changes through
years.
Tested successfully by Border
Police in Guyanna

19. THEVISION DESIGNERS
Since 2010
Game Card reader
Card recognition
Bet Tracking
Approved by Nevada
Gaming Authority
Card reader in operation
over 20 properties
throughout the world
CASH COUNT YIELD
MANAGEMENT
GAME
PROTECTION
GAME
OUTCOME

20. THEVISION DESIGNERS
Vehicle detection, extraction,
and identification combining
Motion extraction and Pattern
Matching for robust count.
Robust to noise, shadows,
camera vibration, low light.
SPEED
ESTIMATION
TRAFFIC
FLOW
MONITORING
VEHICLE
CLASSIFICATION
VEHICLE
COUNTING

21. THEVISION DESIGNERS
Rear Miror Monitoring Road Sign - LDWS

22. THEVISION DESIGNERS
In operation since 2006
Detection and Identification of
Brand logos in Sport Events.
Automatic extraction of :
number of display, duration,
size, location on the TV screen,
etc.
+620 PCs in a datacenter
processing 24/7 all sport
broadcast events worldwide,
and thousands of brands
analyzed in the database.
BRAND EXPOSURE
SPORT SPONSORSHIP
Efficiency Measurement

23. THEVISION DESIGNERS
Project in 2008
Detection and identification of
TV Commercials diffusion.
Day,Time, Channel, Duration,
Conformity to original footage.
No need of watermarking.
Based on Spikenet’s patented
video indexing engine MIND.
Broadcast Content
Monitoring
WEB TVTV Commercials
Identification

24. THEVISION DESIGNERS
- Signature pixel based
- 50 bytes per image signature
- 1h of movie in 2Mb
- Works on simple PC
Match 1 image among +100
Million in 1 second !
Finds exact and similar images
Massive visual searchMIND
Copyright
Infringement
Detection
TV
Commercials
Identification
Search
Engine
Metadata
propagation
PC Storage
Place
Optimisation

25. THEVISION DESIGNERS
Rebar counting automation.
Counting rebar on the fly.
Any size.Any shape.
First system delivered in April
2013

26. THEVISION DESIGNERS
PATTERN RECOGNITION
EMBEDDED IN
STANDALONE IMAGE
SENSOR
Very small footprint image
recognition engine SNVISION.
No horse computing power
needed.
Millions of patterns for
recognition can be stored in
simple SD card.
Protoypes already on Blackfin
and linux ARM platforms
(Rasberry, Panda, Odroid,…)
ROBOTS UAVAUTOMOTIVEITS