1. Smartphone based ADAS
(Advanced Driver Assistance System)
smartDriver
Comprehensive Analysis
and Proposed Model
By
Dr.Prashant Sharma
2. Content
Introduction
Existing ADAS with and without Smartphones
Proposed ADAS
Features
Advantages
Technology
Requirements (Hardware ,Software ,Manpower)
Highlighted facts
Timeline
Promotional Measures
Prospective Collaborations
Patents and Funding Agencies
Future Apps and Goal
3. Introduction
What is ADAS?
The acronym ADAS stands for Advanced Driver
Assistance Systems, basically these are systems to help
the driver in the driving process. Some examples include:
— Adaptive cruise control (ACC)
— Lane change assistance
— Collision avoidance system (pre-crash system)
— Traffic sign recognition
—Vehicular communication systems
4. Existing Smartphone Apps
Commercially Available
With Smartphone
iOnRoad
CarSafe
Drivea
Drive Assistance App
With Dedicated Hardware
Mobileye
Nvidia App
GT WiFi Cam
5. Existing Smartphone Apps
On Research Platform
DriveSafe (iPhone)
SideEye
Mobile Assistant
Razvan Model
Other marginally related apps
Wikitude Drive
WalkSafe
AXA Drive app
First Smartphone-powered self-driving
6. iOnRoad
Front vehicle collision warning system
Safe, careful and warning message is displayed depending
upon the front vehicle distance
Also switched to navigation app while working in
background
Calling facilities is also included
10. Features of CarSafe
CarSafe is the first dual-camera application for smartphones
Driving while being tired or distracted is dangerous.
CafeSafe app for Android phones, uses
both front and back cameras and
others embedded sensors on the phone
to detect and alert drivers to dangerous driving conditions inside
and outside the car.
CarSafe uses computer vision and machine learning algorithms on the
phone
to monitor and detect whether the driver is tired or distracted
using the front camera
while at the same time tracking road conditions using the back
camera.
11. Drivea & Drive Assist App
Both the apps are used
for implementing
lane departure,
headway collision and
front vehicle detection
functionality of ADAS
12. Mobileye
Forward CollisionWarning (Mobileye FCW)
Pedestrian CollisionWarning (Mobileye PCW)
Headway MonitoringWarning (Mobileye HMW)
Lane DepartureWarning (Mobileye LDW)
Intelligent High-beam Control (IHC).Available for vehicles
with a supporting infrastructure
Speed Limit Indicator (SLI)
13. Nvidia App
The tremendous visual processing power of NVIDIA processors will
redefine
traffic sign recognition
blind spot detection
lane-departure warnings
driver-alertness monitoring
assisted parking
night vision
With the ability to run native NVIDIA CUDA® code, the newest
TegraVCM will bring a new level of apps into the car, enabling more
advanced collision- avoidance systems, and ultimately pave the way
for the self- driving car.
16. DriveSafe
It uses computer vision and pattern recognition
techniques on the iPhone to assess
whether the driver is
drowsy or distracted using
the rear-camera,
the microphone,
the inertial sensors and
the GPS
DriveSafe is the first app for
smartphones based on inbuilt sensors
able to detect inattentive behaviors
Evaluating the quality of the driving at the same time.
18. Mobile Assistant
As a cheaper and ubiquitous alternative, a smartphone
can assist an inattentive driver by leveraging its front and
back cameras apart from other sensors.
The challenge, however, is given the resource constraints
of a smartphone, how quickly and accurately can it detect
an unintended maneuver and alert the driver.
20. Razvan Model(DriveAssist)
DriveAssist, a driving assistant based on Android that uses
the mobile phone’s camera to alert the driver in case of
an imminent crash.
detect any kind of obstacle in a car traffic scenario
bicyclists,
pedestrians,
cars, trucks, buses
animals, etc.
21. Wikitude Drive
Augmented reality based navigation system
Mobile screen will display front camera view
continuously while additional navigation information is
augmented on the screen
22. WalkSafe
Android smartphone application that aids people that
walk and talk, improving the safety of pedestrian mobile
phone users
It uses the back camera of the mobile phone to
detect vehicles approaching the user,
alerting the user of a potentially unsafe situation;
Walksafe uses
i) machine learning algorithms implemented on the phone to
detect the front views and back views of moving vehicles and
ii) exploits phone APIs to save energy by running the vehicle
detection algorithm only during active calls.
24. AXA Drive App
Application on smartphone to detect and monitor
drivers behaviour by checking
Accleration
Braking and
Turning
Records all above activity and presents the driver intent and
behaviour at the end of the journey
Later this can be shared via social networking sites
25. Three college students from Griffith University in Australia
have created an autonomous vehicle using
just a smartphone and
a toy Power Wheels car.
This self-driving car navigates its way around by plotting a GPS
course on the smartphone.
Meanwhile, it uses a connected camera sensor to see where the
road lanes are, and to spot any other hazards on the traffic-
laden streets.
This one smartphone system also controls all of the car’s
steering and acceleration.
Smartphone-powered self-driving Power
Wheels by Students of Griffith University
Australia
26. INDUCT
World first commercially available self driving car
Navia a French Company has launched world’s first
commercially available Self Driving Car
INDUCT
for 8 passenger
Speed upto 20 mph
Public transports (replacement of auto/taxi and similar
conveyance system)
28. Proposed Features
Warning Systems
Lane Departure
Front vehicle collision (day/night)
Traffic sign recognition for speed limit
Road potholes, ditches and bumps(speed breakers)
Pedestrians, bicyclist and motorcyclist
Stray animals and other
Non moving obstacles (drums, road repair warning
placards)
Traffic light detection and display
29. Proposed Features
Bluetooth based voice operated calling and answering
Caller name through speaker of phone
If accepted by user through voice command then call is connected
to speakers of car audio system
If rejected then call disconnected
If rejected with message then ‘car driving will call later’ message is
send to the caller through sms or whatsapp etc…
Calling using voice command
Driver Fatigue Detection: Head tilting, eye blinking and yawning
Pedestrian safety system-Walk andTalk while road crossing
Augmented reality based navigation system
30. Versions
Ver1.0- Lane DepartureWarning System & Frontal
CollisionWarning System(Vehicle, Pedestrians,Animals,
Bicyclist, Motorcyclist, Non moving objects)
Ver 2.0- Driver Fatigue Detection andWarning
Ver 3.0- Bluetooth based voice operated calling
Ver 4.0- Augmented reality based navigation system
31. Advantages of proposed over existing ADAS
Apart from lane departure, vehicle ahead, traffic sign
recognition, pedestrian, bicyclist, motorcyclist, animals and
other obstacle detection and warning features of existing
apps this proposal will also have potholes, speed
breakers, traffic light and traffic sign detection
Driver fatigue detection and warning system
It will also have bluetooth based voice operated calling
and answering facility
Augmented reality based navigation system
32. Technology
Vision based detection and classification of various
objects on the road
Meticulous inclusion of machine learning algorithms in
resolving various complex issues
Dedicated short range communication would be any
exceptional solution in realizing the vehicle to vehicle
and vehicle to infrastructure communication
Pioneering the induction of Augmented reality and
cloud computing to implement various functionality of
ADAS
33. Computer Vision based Technology
Technical challenges including
imaging under a variety of environmental and illumination
conditions,
data overload,
recognition and tracking of objects at high speed,
distributed network sensing and processing,
energy sources, as well as
legal concerns.
Journal of Electronic Imaging :
Computer vision in roadway transportation systems: A survey
Robert P. Loce;Edgar A. Bernal;WenchengWu;Raja Bala
34. Lane Departure Warning
Issues related to LDW
Different markings on road
including broken lines,
unbroken lines,
double lines,
Writing in lane (e.g., car pool, arrows),
only a center line,
only an edge line,
Bott’s dots,
hatched line,
highway entrance and exit markings,
white lines, and
lines of varying hues of yellow.
35. Environmental conditions
rain and wet asphalt,
night time
lighting conditions,
sun on the horizon,
shadows,
snow,
fog,
light-colored roadways (e.g., cement),
tar seams,
Unmarked roads,
road damage or regions of repair,
legacy lines, and
nearby vehicles.
38. The forums creating standards for LDW
systems
International Organization for Standardization and
Federal Motor Carrier Safety Administration.
There are two key areas for standardization to consider:
warning threshold - determines when a warning is issued,
speed threshold and road curvature -both used to classify
the LDW systems
39. Lane detection algorithms
An edge detection algorithm in conjunction with
Morphological filtering and
Frame-to-frame correlation to create an edge image of the
painted lines, and
Hough transform applied to the edge image to define potential
lane boundaries.
The potential lane boundaries can be fitted to a geometric
model for a roadway lane to eliminate the effects of spurious
visual signals.
40. Lane detection and tracking
(Phase I- Lane Detection)
Lane detection relies solely on video data
and comprises five steps:
frame acquisition,
inverse perspective mapping (IPM),
edge detection,
line identification, and
line fitting.
41. Phase I continued…
The second step, IPM, is a geometrical transformation technique that
remaps each pixel of the two-dimensional (2-D) perspective view of
a 3-D object to a new planar image corresponding to a bird’s eye
view.
In the third step, edge points are defined as the zero crossing of the
Laplacian of the IPM smoothed image.Among all edge pixels, only
stripes need to be detected,
so an additional phase using steerable filters is employed in the
fourth step.To further define the edges, a threshold is applied to
binarize high-contrast transitions.
In the fifth and final step, a parabolic model is used to fit curved lines
to the edges, where the fit is performed using the random sample
consensus procedure.
42. Phase II- Lane tracking
In the second phase of lane tracking, Kalman filtering is used to
update coefficients to the parabolic model.
Non imaging kinematic data are acquired from a steering angle
sensor and an angular speed sensor mounted on a rear wheel.
The kinematics are then combined into a vehicle model by
using a data fusion algorithm.
Given the nonlinear nature of the problem, algorithms employ
both the extended and unextented versions of the Kalman
filter.
43. Pedestrian detection
The detection must comprehend
a wide range of lighting conditions,
a continuously varying background,
changes in pose,
occlusion, and
variation in scale due to the
changing distance.
44. Pedestrian detection algorithms
Motion detection is well suited for a pedestrian laterally crossing the visual
field.
Motion detection via a method such as optical flow can indicate a region of
interest (ROI) that can be further analyzed for size, shape, and gait.
The periodicity of the human gait is a strong indicator of a pedestrian and
can be analyzed by clustering regions of pixels within the ROI as an image
feature and tracking corresponding clusters frame to frame.
Motion detection methods require multiple frames to be acquired and
analyzed, do not comprehend stationary pedestrians, and can be
confounded by changing background, changing lighting conditions, and
longitudinal motion.
Stereo vision addresses the problem of range and size ambiguity that
occurs with monocular vision.
Disparity maps are derived from the two views.The disparity provides
information on distance that when coupled with detected features, such as
size, edges, and bounding box dimensions, can be used to identify
pedestrians
45. Effective algorithms
The introduction of various hand-designed features,
such as scale invariant feature transform (SIFT),
histogram of oriented gradients (HOG),
local binary patterns (LBP),
and maximally stable extremal regions (MSER),
coupled with advanced machine learning techniques.
Many state-of-the-art object recognition methods follow a
process of
first scanning the image at multiple scales with an object
detection module and then
applying a technique such as nonmaximal suppression to
recognize objects of interest in the image.
57. Revolutionary Technology coming to
Android Platform
GoogleTango Project 24/9/14
The "ProjectTango" prototype is an Android smartphone-
like device which tracks the 3D motion of the device, and
creates a 3D model of the environment around it.
Technology supplied by MANTISVISION 4D of Israeli
startup
58. Project Tango Development Kit
Ports
USB 3.0 host via dock connector
Micro SD card
Nano SIM slot
Battery
4960 mAH cell (2 x 2480 cells)
Processor
NVIDIATegra K1 with 192 CUDA
cores
Sensors
Motion tracking camera
3D depth sensing
Accelerometer
Ambient light
Barometer
Compass
GPS
Gyroscope
Screen
7.02” 1920 x 1200 HD IPS display (323 ppi)
Scratch-resistant Corning® glass
Camera
1 MP front facing, fixed focus with IR LED
4 MP 2µm RGB-IR pixel sensor
Size
119.77 x 196.33 x 15.36 mm
OS
Android™ 4.4.2 KitKat ®
Wireless
Dual-bandWi-Fi (2.4 GHz/5 GHz)Wi-Fi 802.11 a/b/g/n
NFC (reader and peer to peer modes)
Weight
0.82 lbs (370 g)
Audio output
Dual stereo speakers
3.5 mm audio connector
Memory
128 GB internal storage (actual formatted capacity will be
less)
4 GB RAM
59. Hardware requirements
Smartphone (Galaxy S4) for testing and algorithm
validation –
28000/-
High end Laptop for with graphic card– 75000/-
Raspberry Pi kit with webcam and display to test
Simulink model on realtime video images
10000/-
Microsoft kinect B+ gaming sensor module,
probably with console and display also
25000/-
LCD Projector and Screen 50000/-
60. Software requirements
( freely available for developers and
research community)
MATLAB R2014a onwards for algorithm development and
validation
Eclipse for smartphone app development (Android SDK and
NDK)
C++ compiler (visual studio)
OpenCV attachments for both MATLAB and Eclipse
Machine learning algorithm development platform other than
MATLAB
Simulators for testing developed model – PreScan ;
SCANeR (The SCANeR Academic license is currently priced at €
15 500 (academic discount included) and the additional ADAS
module priced at 9 000 € (including an academic discount of 40%).
61. Manpower requirements
Team for algorithm development on Simulink
(computer vision toolbox with and without
openCV)
2 persons
Programmer for OpenCV on c++ platform
for inclusion in algorithms for robustness
2 person
Smartphone App developer using OpenCV
in eclipse and Android NDK environment
2 persons
Machine learning algorithms developers 1 person
64. SCANeR Studio ADAS software support
Adaptive cruise control (ACC)
Emergency Brake Assist
Blind Spot Detection (BSD)
Hot Spot Warning (HSW)
Speed Limit Warning (SLW)
Cooperative driving
Intelligent Headlight Control (using Advanced front light system
AFS)
Driver Alert System (DAS)
GPS and map-based systems
Pedestrian collision warning (PCW)
Forward collision warning (FCW)
Lane Departure Warning (LDW)
Lane Keeping Assist (LKS)
65. Simulation of the environment:
Create or modify the road simulation environment with
easy to use interface (road curvature, slope, banking,
Buildings, etc.)
Intelligent autonomous traffic (vehicles, pedestrians, etc.)
Interface with micro-traffic models
User friendly interface to trigger events and prepare
predictive situation
66. ADAS Development
Rapid ADAS prototyping
Complete system development
HIL interface
HMI evaluation (flash interface)
67. Powerful Software suite:
Modern and easy to use GUI
Complete SCANeR SDK for development of ADAS system,
getting acess to simulation and control parameters
(Matlab/Simulink, Labview , RT-Maps, C++, script)
Run, batch, record and analyse your simulation
Interactive or automated simulation with Human orVirtual
Driver
68. Sensors:
Complete range of virtual sensors models with
different level of complexity and realism (Camera,
Lidar, Radar, etc.)
High Quality real time visual rendering for camera based
sensor simulation (HDR, road reflection, camera distortion,
mirrors, Physic based rain simulation, advanced headlight
simulation, dazzling effect, etc.)
LIDAR
Radar: from simple to complex physical modelisation
Perfects sensors for rapid prototyping
Interface with advanced physical models: IR, GPS, Ultra-sonic
69. PreScan by TNO Netherlands
• Autonomous emergency braking
• Adaptive Cruise Control
• Lane keeping assistance
• Lane change assistance
• Pedestrian detection
• Traffic sign recognition
• Parking assistance
• Connected driving (V2x)
• Automated driving
• MIL, SIL, DIL, HIL and driving simulators
India
T. +91 80 4115 1512
F. +91 80 4115 1511
E. info.in@tassinternational.com
India office
Sales & Support
G-1, M S Crystal
12, Malleshpalya Main Road
Bangalore 560075, India
+91 80 4115 1512
+91 80 4115 1511
info.in@tassinternational.com
support.in@tassinternational.com
71. PreScan Development Cycle
Build scenario
A dedicated pre-processor (GUI) allows users to build and modify traffic scenarios within
minutes using a database of road sections, infrastructure components (trees, buildings, traffic
signs), actors (cars, trucks, bikes and pedestrians), weather conditions (such as rain, snow and
fog) and light sources (such as the sun, headlights and lampposts). Representations of real
roads can be quickly made by reading in information from OpenStreetMap, Google Earth,
Google 3D Warehouse and/or a GPS navigation device.
Model sensors
Vehicle models can be equipped with different sensor types, including radar, laser, camera,
ultrasone, infrared, GPS and antennas for vehicle-to-X (V2X) communication. Sensor design
and benchmarking is facilitated by easy exchange and modification of sensor type and sensor
characteristics.
Add control system
A Matlab/Simulink interface enables users to design and verify algorithms for data processing,
sensor fusion, decision making and control as well as the re-use of existing Simulink models
such as vehicle dynamics models from CarSim, Dyna4 or ASM.
Run experiment
A 3D visualisation viewer allows users to analyse the results of the experiment. It provides
multiple viewpoints, intuitive navigation controls, and picture and movie generation capabilities.
Also, interfaces with ControlDesk and LabView can be used to automatically run an
experiment batch of scenarios as well as to run hardware-in-the-loop (HIL) simulations.
72. PreScan by TNO Netherlands
PreScan for Lane Keeping Assist; Mr.Takahito
Nakano, DP-iSafety Center, DENSO Corporation
"We are using PreScan extensively for Lane Keeping Assist and
Lane DepartureWarning (LKA/LDW) applications. It allowed
us to achieve a major reduction in road testing while
investigating a much wider range of scenario variations, which
would never have been possible by using road testing."
73. Platform for virtual ADAS development
• Advanced sensor simulation
• Flexible traffic and world modelling
• Automated execution of Monte Carlo
studies and test automation programs
74. Automated scenario creation from test
drive data
• Automated conversion of IBEO laser scanner data to PreScan scenarios
• Automated creation of PreScan scenarios from your own labeled test drive data
75. Real-world testing
• Night driving with realistic light sources and reflection
models
• Adverse weather with varying intensities of fog, rain and
snow
77. Automated driving
• Sensor fusion for camera, radar, lidar,V2x radio, map data,
and more.
• Intelligent traffic-Combining simulation (MIL), laboratory
experiments (HIL) and real-world testing
78. Highlighted Facts
Not more than 10 company, presently involved
worldwide, in this field.
No Indian company in the market till today
iOnRoad was acquired by Harman Car Entertainment
company in 2012 in few million dollars
Mobileye, Nvidia and GT Cam are few companies
providing few functionality of ADAS using additional
hardware
Potholes, speed breakers and bluetooth enabled call
answering is not included in any product as of now.
Parking slot information would be an added luxury
Project tango of Google is at the doorstep
79. Encouragement for Proposed Work
In the 1990s, many researchers took a Jetsons view of smart
vehicles—banking that the future of car safety was a world
where cars are autonomous and drive themselves. But the
research pendulum appears to have swung back in the
direction that engineers call "human-centered" driver
assistance systems.
"Here at UCSD we have worked for the past decade on a very
different vision of the future," saysTrivedi, "one where drivers
remain in charge, but with intelligent driver assistance
technologies to help them make better, faster decisions. In
other words, systems that support rather than replace the
driver.
Dr.Mohan Trivedi, Head of UCSD's ComputerVision and Robotics
Research laboratory(CVRR Lab)
Laboratory for Intelligent & Safe Automobiles
80. Time schedule
Sr.
No.
Activity
1 2 3 4 5 6 7
1 Arrangement of funds and Team Building
2 First Version with Lane departure and
forward collision Warning System
3 Second Version with traffic sign, pedestrian,
bicyclist, motorcyclist detection and warning
4 Third version with animals and other
obstacles
5 Fourth version with bluetooth operated
voice calling and answering facility
6 Navigation system preferably with
augmented reality functionality
81. Worldwide Patents on similar products
(www.espacenet.com ;www.uspto.com )
Sr.N
o.
Country Document Number Title Keywords
1 KR(Korea) KR20140041005(A) Lane Departure Warning and
Black box system and
method of using the
system
LDWS using
Smartphone
2 WO WO2014062570(A2) System and method for
monitoring apps in a vehicle
to reduce driver distraction
Driver alert system
smartphone
3 EA(Europe) EA201001487(A1) System for alerting a driver
of an object crossing or
intending to cross the
roadway
Driver alert animal
4 US(United
States)
US2013070043 Vehicle driver monitor and
a method for monitoring a
driver
Driver fatigue using
physiological data
audio visual warning
5 CN(China) CN101986673A Blind Man mobile app
82. Worldwide Patents on similar products
Sr.N
o.
Country Document Number Title Keywords
6 Korea KR20130070337(A) Device for condition
judgement of vehile using a
back camera and method
thereof
Driver alert warning
lane departure
7 WO WO2014022854(A1) Portable collision warning
apparatus
Driver alert warning
vehicle
8 US US 7,551,103 B2 ALERT SYSTEM
FORAVEHICLE
9 US US 8,082,101 B2 COLLISIONWARNING
SYSTEM
10 US US 7,902,987 B2 DRIVER ALERT SYSTEM
FOR THE STEERING
WHEEL OF A MOTOR
VEHICLE
83. Worldwide Patents on similar products
Sr.No. Country Document Number Title Keywords
11 US US 2010/0020170 A1 VEHICLE IMAGING SYSTEM
12 US US 8,606,316 B2 PORTABLE BLIND AID DEVICE
13 US US 2010/0295707 A1 SYSTEM AND METHOD FOR
LANE DEPARTUREWARNING
14 US US 2013/0044021 A1 FORWARD FACING SENSING
SYSTEM FORVEHICLE
15 US US 8,094,001 B2 VEHICLE LANE DEPARTURE
WARNING SYSTEM AND
METHOD
16 US US 7,482,937 B2 VISION BASED ALERT SYSTEM
USING PORTABLE DEVICE WITH
CAMERA
84. Registered Patent Agents, Nagpur
ShriW. N. Pimparkar
Plot No. 32, New Cotton
Market
Layout in front of S.T. Bus
Stand
Nagpur.
Shri Narayan Keshao Joshi,
Govind Sadan
Chotti Dhantoli
Nagpur
IN/PA – 881
Khati Swapnil
Khati Bhawan, NazgibhaiTown,
Netaji Market, Behind
Dhaneshree Complex,
Sitabuldi, Nagpur.
Chandurkar
Suwarnarekha
C/o. P. N. Chandurkar,Advocate,
Narasimha Bhavan,
Mount Road Extn.
Sadar, Nagpur - 440001
87. Promotional Measures
Video clipping depicting the functionality of App for
uploading on internet and sharing with potential clients
Poster for display at major showrooms and service
centers of automobile companies in India and Abroad
Website for sharing company activities with the world
Participate in world Auto Shows /ITS
conferences/Smartphone Developers conference to
launch and showcase the product to the world
Webinars and podcasts has to be arranged in later
stages
88. Prospective Collaborations
For Seed Capital (Startup Details)
Technology Development Board (TDB), Gov. of India,
Department of Science and Technology.Aims to provide
support to Startups in India.
www.10000startup.com in association with NASSCOM
www.startbizindia.in
Other funding agencies (from page 15 of this file)
ForTechnology
EmbeddedVision Alliance, Nvidia, Wikitude and others
For service to the client
Through automobile companies
Mahindra ,Tata and Maruti and others
Through smartphone operating system suppliers
Google,Apple, Microsoft, Firefox and others
89. Funding Agencies
USD 1.6B Fund to Support Startups, July 11, 2014
Indian Finance minister,Arun Jaitley unveiled a USD 1.6
billion fund to support startups in India during the new
government’s first budget presentation in the Indian
Parliament on Thursday.
The fund will be used to provide “equity through
venture capital funds,
quasi-equity,
soft loans and
other risk capital
to encourage new startups by youth to be set up.”
90. Yozma fund in Israel
A few weeks before,
the Indian Software Product Industry RoundTable
(iSPIRT), an industry think tank was in talks with
Ravi Shankar Prasad, India’s minister for information
technology, telecom, and law,
suggested for launching an USD 50 million fund for tech
Startup
along the lines of theYozma fund in Israel.
91. Government of India
Technology Development Board Ministry of
Science andTechnology
TDB Scheme for Seed Support toTechnology
Business Incubators/ Science andTechnology
Parks
STEPs /TBIs are supposed to have "Space + Service +
Knowledge + In houseTechnology start up incubatees".
STEPs /TBIs may useTDB grants to provide loan and / or
equity support to their in-house incubatees based on
transparent policies & procedures.The total upper ceiling
of financial assistance to be disbursed to an incubatee is
limited to Rs. 25 lakhs per incubatee.
Application form: on second and third page of this file
92. TDB across India and Specifically
Maharashtra
Total 15 center all over India
In Maharashtra,
Entrepreneurship Development Centre, 100, NCL Innovation
Park, Dr. Homi Bhabha Road, Pune :"Technological Business
Incubator” www.venturecentre.co
SINE(Society for Innovation and Entrepreneurship ), lIT, Powai,
Mumbai: "Technological Business Incubators“, www.sineiitb.org
93. MH 03
BI
Maharashtra
Mumbai
Society for Innovation and Entrepreneurship(SINE)
Indian Institute of Technology- Bombay
ICT, Physical Engineering Sciences, Others
Infrastructure, Practising entrepreneurs/ mentoring,
Business Management, Finance/ funding
http://www.sineiitb.org/
94. MH 08
BI
Maharashtra
Pune
Venture Center
National Chemical Laboratory, CSIR
Chemical Engineering Sciences, Materials Engineering
Sciences, Biotechnology
Technology, Infrastructure, Practising entrepreneurs/
mentoring, Business Management, Finance/ funding
www.venturecenter.co.in
95. MH 13
STP
Maharashtra
Pune
NCL Innovation Park
National Chemical Laboratory, CSIR
Others
Infrastructure, Business management, Practising
entrepreneurs/ mentorship, Finance/ funding,Technology
http://www.innovationpark.org
96. Private Accelerators List
Name of the
Accelerator/Incub
ator
Founders or backers( advisors) Size of the investment/fund
500 startups
Founder Dave McClure. India is
represented by Pankaj jain
Phase 1: $25K investment.
GSF
Rajesh Sawhney, Dave McClure( 500
startups), Saul Klein
$25-30K for 5-8% equity
Morpheus Sameer Guglani + Nandini Hirianniah
Rs.5 Lakhs and 7% to 12% equity for the startup
accelerator program lasting 4 months.
TLabs
Abhishek Gupta, Arpit Agarwal..
http://tlabs.in/team
Invests Rs.10 Lakh for a 10% stake
Startup Village
Public Private Partnership. Govt. of
Kerala
Rs.100 crore for 1,000 student startups over a span
of 10 years.
The Hatch
Anupama Arya, Puneet Vatsayan and
P. K. Gulati
Around Rs.10 Lakhs and a higher amount in select
cases.
Mentors like Manish Sharma(printo) , Shabnam
Aggarwal (Pearson) & Manish Agarwal ( COO
Reliance Entertainment Digital)
Kyron
Lalit Ahuja, John Cook and Larry
Glaeser
$50 million accelerator with $100,000 in seed
funding for a 10 % equity in the startup
97. Private Accelerators List
Name of the
Accelerator/Incubator
Founders or backers(
advisors)
Size of the investment/fund
Microsoft Startup
Aceelerator
Mukund Mohan
No investment by Microsoft, just connects them with
Venture Capitalists
The Startup Center Vijay Anand
Small amount of funding to the tune of Rs. 10 Lakhs
(Approx $20,000)
5ideas
Pearl Uppal + Gaurav
Kachru
2.5 crore per startup and deep collaboration for 6-12
months and 5 startups a time
http://www.5ideas.in/#/what-is-superfuel/4569069581
Venture Nursery
Ravi Kiran and Shravan
Shroff
Associated Angel investors may invest up to INR
25Lakhs in a start-up. Startups will give 3% sweat equity
to Venture Nursery on admission
Unltd India
Pooja Warier and
Richard Alderson
3 tier seed funding going from Rs.80,000 to Rs.20 Lakh.
The go-to choice for social entrepereneurs
AngelPrime
Sanjay Swamy, Bala
Parthasarthy and
Shripati Acharya
No fixed amount
Veddis Ventures Vikrant Bhargava
Investments range from $250k to $10M.
Veddis has both investment and incubatee companies in
its portfolio
98. ACCELERATORS
The Morpheus - http://themorpheus.com/
T-Labs - http://tlabs.in/
The Startup Centre - http://thestartupcentre.com/
Microsoft Accelerator India -
http://www.microsoft.com/india/a...
iAccelerator (CIIE, IIM Ahmedabad) -
http://iaccelerator.org/
Venture Nursery - http://venturenursery.com/
GSF India - http://gsfindia.com/
The Hatch - http://thehatch.in/
InfuseVentures (CIIE, IIM Ahmedabad) -
http://www.infuseventures.in/
Catalyzer Startup Accelerator - http://catalyzer.co
99. INCUBATORS
Centre for Innovation Incubation and Entrepreneurship (CIIE),
IIM Ahmedabad - CIIE
IIIT-Bangalore Innovation Centre - http://www.iiitb.ac.in/incubation/
IIIT-H Foundation - Centre for Innovation & Entrepreneurship
GeminiVentures - http://www.imgemini.com/
RuralTechnology Business Incubator, IITM - www.rtbi.in/
Society for Innovation and Entrepreneurship, IITB -
www.sineiitb.org/
NewVentures India - www.newventuresindia.org/
TechnoparkTBI - www.technoparktbi.org/
StartupVillage - www.startupvillage.in/
POST ACCELERATOR ADVISORS (Modeled Around SV Angels)
5ideas - http://5ideas.in
Freemont Partners - http://freemontpartners.com/
MyfirstCheque - http://www.myfirstcheque.com
100. Incubators for Start up
Just like newly born babies are placed in incubators during
their initial days of birth for providing the required
support & environment, startup are placed under business
Incubator to assist them to establish and stabilize
themselves during their start up phase.
Incubators generally provide shared premises, business
advice, business services, access to investor, market and
international networks, mentoring and a full-time, hands-
on management team.
101. Incubators for Start up
Business incubators helps in accelerating the successful development
of entrepreneurial companies through an array of business support
services, developed and architect by incubator management and
offered both in the incubator and through its network of contacts.
Incubators vary in the way they deliver their services, in their
organizational structure, and in the types of clients they serve.
Successful completion of a business incubation program increases
the likelihood that a start-up company will stay in business for the
long term.
Business incubators provide their resident companies with business
support services and resources such as guidance, assistance with
business planning and help obtaining financing.
Incubators usually also offer companies rental space with flexible
leases, shared basic office services and access to equipment all under
one roof.
102. TiE and GHR Research Lab
CIVN at VNIT Nagpur
Incubation center in central india providing startup
ecosystem for your innovators.
Facility to fund one lacs rupees in pre incubation stage
and if selected for incubation provides 25 lacs soft loan
on 3% interest rate with repayment starts after three
years. Equity share is also very low only 4%.
103. Facilities by
TiE and GHR Research Lab
Startup capital
Infrastructure
Knowledge
18 months incubation
Guidance by industry veterans and CEO
Management strategies
Finding suppliers
Pricing of product
Marketing
Developing effective business plan
Product development and refinement
104. Facilities by
TiE and GHR Research Lab
Crafting professional business plan to assist in seed
funding as govt. grants, angel , venture capitalist and other
resources
Assistance on accounts, taxation for startups
understanding intellectual properties
Training angel mentoring, clinics, sector specific w/s,
startup and scaling up, finance and accounting
105. www.10000startup.com
7000 application,500 shortlisted and 150 impacted
10,000 Start-ups aims to enable incubation, funding and
support for
10,000 technology start-ups in India over the next ten
years.
Check newsletter of SINE IIT Powai
Mr.Ashok M, New Delhi
09035050812
ashok@nasscom.in
Angel inverstor across the globe
Mumbai Angels – 44 members are registered
106. NASSCOM Addresses
Mumbai
SamruddhiVenture Park Ground Floor, Office # 14-15 Central MIDC Road,
Andheri East
Mumbai 400 093
Phone: 91-22- 2823 4844/51
Fax: 91-22- 2836 1576
Email: mumbai@nasscom.in
Pune
BWing, 5th Floor,MCCIATradeTower,
International Convention Centre Complex,
Senapati Bapat Road,
Pune – 411016
TeleFax: 020 25630415
Email: pune@nasscom.in
111. http://www.startbizindia.in
How we can help Start up?
Service package consist of
Startup Setup package
Startup Setup and Support Package.
Startup Finance Support Package
117. Future Apps
Driver fatigue detection based warning system based on
behavioral and physiological information using front
camera of Smartphone and other sensors
Parking slot vacant information to the driver in parking
bay
Augmented reality based navigation system
Vehicle anti theft and protection system
Vehicle tracking
In-vehicle environment control
118. LONG TERM GOAL
Automated driving for large campus such as
Golf Court,
University Campus,
HugeWarehouses,
Hospitals,
Corporate Offices,
Big Industries
Automatic Parking
Automated driving in
Expressways,
National highways and then
State highways
Traffic jam assist in urban traffic congestion scenario
Biggest Dream of the LIFE,
Automated Driving (Self Driving Cars / Driverless Cars)
