The document provides an overview of an IoT/M2M capabilities company that offers product engineering and enterprise IT services across various sectors, including telecom, automotive, and healthcare, with a global reach in 20 countries. It discusses their service offerings in device management, cloud integration, and automation, along with several case studies showcasing their technology solutions in areas like smart homes, industrial applications, and healthcare. The document highlights the importance of innovative technologies such as big data, security compliance, and orchestration frameworks for enhancing operational efficiencies in IoT environments.

1. IoT/M2M Capability
Overview

2. WHO WE ARE?
FEATURED ON ANALYST REPORTS
QUALITY CERTIFICATIONS
Enterprise IT and Product
Engineering Services Company
24,000 employees | 20 countries
1000+ Customers include top 6
Fortune 100
Part of $1.85 B ALTEN Group

3. INDUSTRIES: WE WORK WITH
Telecoms & Multimedia
Government & Finance
Industrial & Energy
Automotive & Rail/Naval
Aerospace, Defence & Security

4. GLOBAL PRESENCE
ACROSS 20 COUNTRIES
North America Europe Africa & Middle East Asia
France | Belgium | Germany
Italy | Netherlands | Norway
Sweden | Romania | Spain
Scandinavia | Switzerland | UK
India | China | SingaporeUSA | Canada Africa | Middle East

5. Leveraging Disruptive Technologies to Solve Business Problems
Big Data &
Analytics
Mobility
Cloud
NFV / SDN
UX Design
IoT / M2M
WHAT WE DO
PRODUCT
ENGINEERING
ENTERPRISE
APPLICATIONS

6. WHAT WE DO in IoT / M2M
Vehicles, Asset, Person & Pet,
Monitoring & Controlling
Agriculture Automation Security &
Surveillance
Building
Management
Embedded Mobile
M2M & Wireless
Sensor Network
Everyday Things Smart Homes &
Cities
Telemedicine &
Healthcare
Locate Asset
Track / Monitor Asset
OPEX Reduction Happy
Customer Improve quality of life
Monetize

7. SERVICE OFFERINGS: Device/Sensor/Gateway Providers
Design, Optimize & Verify
 Hardware design, analysis
o HDL or schematic design
o Design analysis
 Optimization for customer specific requirements
o Performance Optimization
o Size optimization (Foot print & RAM)
o Power Optimization
o Boot Time optimization
o Target cost
 Verification & validation
Embedded Software
 Development – firmware, device
driver, board support packages
(BSPs).
 Porting existing drivers, OS,
middleware to new platforms.
 Integration of device drivers
 Customization for different
connectivity requirements – WiFi,
LoRA, RPMA LTE-M, NB LTE-M & NB-
IOT.
Coding
o C, Java, Python
o JavaScript , Node.js
Comms/Transport
o Wifi, Bluetooth, ZigBee
o DigiMesh, LPWAN, Ethernet
Discovery
o mDNS
o UPnP

8. Case Study
Zigbee Sensor Hardware
 Design the hardware, firmware and board diagnostics software(BSP).
 The core board is built around F1611 Micro controller from TI’s MSP430 family. MSP430F1611 is an Ultra Low power micro controller and
consists of several peripheral interfaces targeted for various applications.
 The architecture, combined with five low power modes is optimized to achieve extended battery life in portable measurement
applications.
Superheat Controller
 Design Superheat controller firmware and software for monitoring an d managing configuration.
 A refrigeration unit runs at highest energy efficiency when the superheat of the refrigerant is maintained close to 0 degrees C at the exit
of the evaporator of the refrigeration system. The goal of the superheat controller is to control superheat at a given target set point,
often near 0 degrees C, by modulating a variable orifice silicon expansion valve (SEV).
 Designed BLDC Motor Controller to sense temperature and occupancy.
 Objective to replace the AC motors normally used in applications like refrigerator, washing machines, fans etc with a smaller, low power
Brushless DC motors (BLDC) which would provide 20-30% saving in power.
 The solution consists of three parts, the controller board, power supply board and remote controller.
 The controller is designed around Renesas R8C controller and the remote controller around Renesas M34286.
 The power supply is single output 24V/3A switch mode power supply operating from 90-260V AC.
BLDC Motor Controller

9. Case Study: Data Acquisition Card & Gateway for Industrial Application
The main board receives machine parameters from various sensors through ADC. After processing the data, the MCU sends the desired information to user over
10/100 Ethernet. The main board is powered by external AC-DC adapter (230V AC to 12Vdc/1A /UL approved).The daughter board receives machine
parameters/status information from sensors (analog, digital and pulse) outputs of machines. The received signals pass through isolator and level shifters. The
outputs of isolator and level shifters are fed to MCU via board to board connector. Daughter board is powered by external 24VDC
Main Board
Plant Floor IS hardware is an Ethernet
Gateway for industrial equipment.
Daughter Board

10. Case Study: ATM Monitoring & Control
 For air conditioning - monitor the temperature on and off status and working condition
of the AC Unit
 For light fixtures - Mange and monitor Internal lightings and control them based on
light level inside the ATM
 For name board - Lights - automatic switching and monitoring the name board sign
lights outside the ATM.
 For housekeeping - Any housekeeping person visit is monitored and ensured that the
house keeping happened by a switch before and after doing the work execution
 For Cash loading - Same as house keeping
 Ups Charge Discharge and related monitoring
 Main power on and off
The sensors are as follows:
ATM centres are mostly monitored for the ATM machine, but ATM maintenance is not monitored.
This POC aims at managing and remote monitoring of the ATM centres.
Hardware – To retrofit and manage the Remote A/C control and IO daughter board It also provides
runtime control of Air Conditioning and Managing lightings based on pre-set criteria.

11. Case Study: Automatic Ride Capture System
ARCS – is a project that aims at capturing roller coaster
moments and customer experience while they are on the
roller coaster. Precise triggering of the camera has to be
ensured to capture right moments. The triggering varies
based on the speed and position of the camera fixed for the
Roller coaster rides.
 The device is configured via REST API’s for operational parameters.
 The block diagram shows the overall system architecture with S1, S2, S3 and S4
being sensor inputs (IP). Flash and Camera Outputs triggered via controller.
 System has an Ethernet interface to interact with the other system and is used
for configuration, reporting and remote management.
 USB and JTAG ports are used for burning the new firmware image on to the ARCS
controller hardware board.
 A group of similar controllers are managed from a centralized location.
JTAG
BUCK 3.3V
ISO/Level
Convertor
ISO/Level
Convertor
ISO/Level
Convertor
ISO/Level
Convertor
RX 63N
Controller
ETH PHY
RJ45
Connector
USB
LDO-5V
9V DC
S1
S2
S3
S4
RST
CLK
Flash Output
Camera Output

12. SERVICE OFFERINGS: Connectivity Providers
Onboarding Sensors
 Developing software
that is capable of
embedding and
executing an IoT
application directly on
the SIM.
 Prototype
 Platform device SDK
porting
 Setting up of
management console
 Device or sensor
onboarding
IoT System Integration
 Multiple platforms,
numerous protocols and
large numbers of APIs.
 With orchestrators,
legacy NMS/OSS,
Enterprise systems
(Oracle)
 Supplementary
management,
automation and
streamlined processes
to manage multi-
hypervisor, multi-cloud
infrastructures.
New Applications
 Customized engine –
alerts, reporting that
maps the relationships
of devices-to-reports-to-
users.
 Develop, Port & Test
specific applications or
VNF’s for bandwidth
management, traffic
engineering.
 New revenue stream
billing models.
 Service assurance
solution for embedded
SIM’s
24X7 remote
management
 IoT sensors (status
monitoring, diagnostics,
install, update, uninstall,
configure policies and
firmware).
 Incident management -
Detection, classification,
investigation and
resolution.
 Security policy
compliance &
enforcement
management
Testing
 In multi-cloud networks,
Microservices' can cause:
propagation delay and
network performance
issues. Test performance
of microservices in all of
the hosting variations
across hybrid or multi-
cloud environment before
deployment.
 E2E functionality testing

13. Accelerator: Orchestration Framework
 Based on ETSI NFV ISG specification
 Orchestration framework that provides
automated service delivery of Network
Functions on Virtual Clouds
 VNFs such as VPN , SSL offloading , Load
Balancing launched by NFV orchestration
framework
 Enables service providers to create virtual
private multi-tenant cloud deployed on any
cloud platform
 Platform components: Service Portal,
Orchestration, NFVI - OpenStack/Cloud Base
 Features supported: Service catalog, Service
ordering, Dynamic service provisioning,
Service remediation, Instance remediation
etc.

14. Accelerator: Orchestration Framework, Architecture
NFVOps
Virtual
Infrastructure
Manager
NFVO
VNF
Manager
VPN
VNF
ManagerVNF
Engine
NFVO
Engine
Core
Controller
Log
Engine
Message Bus
CLI
Engine
EMS
Engine
Action
Engine
VIM
Engine
NetServ
Engine
Analytics
Engine
REST API Data X-Change Connector
Types
Library
Tools/Technologies
Enablement

15. Accelerator: vCPE Framework
 Reusable framework that allows key CPE functions to be instantiated as Virtual
Network Functions (VNFs) at Provider Edge (PE)
 Core Functions include:
o DHCP server, DHCP client and DHCP Relay
o VLAN (802.1q and Q-in-Q)
o Stateful Firewall
o Static and Dynamic NAT (with support for ALGs)
o Layer-3 IPSec VPN Gateway
o Routing (RIP and OSPF)
o Static and Dynamic VRF (Virtual Routing and Forwarding)
o Traffic Shaping and Quality of Service (QoS)
o CLI/SNMP based VNF management
 Data Plane optimized to Intel® DPDK and capable of supporting 10 Gbps full duplex
packet processing on single Intel Xeon E5-2697 processor
o Data Plane throughput scales linearly with number of processors
 Modular construction - Allows new control plane applications to be added or
customized to support different use cases
 Provides REST based interfaces to Third Party MANO applications

16. Accelerator: TR069
One of the challenges operators will face is to maintain quality,
consistency, and reliability of services to Enterprise M2M customers.
Telco operators are turning to remote management of CPE and soon
M2M devices to provision and manage advanced services while reducing
support costs and customer churn.
TR-069, the Broadband Forum’s CPE WAN management protocol, is now the
de-facto standard for remote CPE management. TR-069 provides standardized
remote device management for residential gateways and other devices. It
provides the necessary framework for efficient, scalable and secure
provisioning, to support a wide variety of broadband services.
ACL offers a TR-069 Client based on CPE WAN Management Protocol, a software component that can be
easily integrated with devices like residential gateways, Set Top boxes, Femtocell devices and other home
networking devices to make the devices remotely manageable from an Auto Configuration Server.

17. Case study: Multi-Cloud Integration
Cloud Networking Orchestration
Operator IP/MPLS Network
AWS West
VM-west VM-west
Customer Workloads
Direct Connect (DX)
Customizing and integrating an orchestration platform that unifies the operational domains of the multi-cloud
ecosystem participants through a single self-service interface
 Integrate orchestrator and stitch together all networking resources in
AWS and Operator
 Develop adapter to AWS
 Federated cloud network service across Operator and AWS networks
 Enable automated provisioning & configuration of Operator’s IP
service and AWS network resources for Enterprise cloud workloads
IP VPN Provisioning &
Assurance System
VPC Networking APIs
AWS East
VM-east VM-east
Customer Workloads
Customer Workloads
VM-south VM-south
Operator
Enterprise Cloud

18.  Device management and monitoring
software for various classes of gateways and
devices which transmit data at different
transmission protocols.
 End-to-end security function associated with
a secure connection and remote control IoT
devices.
 Support for HTTP, WebSockets,
XMPP,CoAP,and MQTT protocols for data
collection.
 Interoperability
SERVICE OFFERINGS: Platform Providers
Customize core
platform functions
 Application and processing engines that allow
the data collected from IoT devices to be
leveraged for variety of use cases:
o GEO location tracking
o Predictive maintenance
o Asset tracking & optimization
o Loss prevention & recovery
o Supply chain optimization
o License management
o Field workforce management
o Alert Management
Application Engines
 Filter and transform real-time sensor data.
 Data analysis, Statistical analysis and report
generation
 SaaS programing, data management,
Statistics.
 Visualization
Advanced Analytics
Java, Python, C#, PHP
JavaScript , Node.js,
TR-069, OMA-DM /OMA
LightweightM2M v1.0
MQTT, CoAP, XMPP , AMQP,
Websocket, Node, SOAP
JSON-LD, Web Thing Model, IOTDB, SensorML,
Semantic Sensor Net Ontology - W3C, Wolfram
Language, RAML, SENML, LsDL
Coding Device Management Data Protocols Semantic

19. Accelerator: IoT Platform Framework
Database Analytics Enterprise ApplicationsIoT Applications
Communication (CoAP, XMPP, Restful HTTP, MQTT)
Security
Authentication
Authorization
Trust
Identity
Thing
Management
Web Based
Admin Portal
Rule Engine
Rule Based
Services
Virtual Entity
Physical Entity Definitions
And Functions
IoT Framework
Devices, Sensors, Actuators, Tags
Services Communicating with Things
IoT Service

20. Accelerator: IoT Platform Framework, Features
1. Things Management
o Application to manage things
2. Rules Engine
o Rules engines are used act on the sensor
data and trigger an action or an event
3. Asset and Security Management
o Effective tracking and management of
enterprise assets
4. Virtual Entity
o Mapping of physical and virtual entities to
enable M2M queries
5. API Gateway
o A common API gateway for the various IoT
features that can be easily accesses across
different geographical locations
6. Big Data Analytics
o Meaningful visualization of refined data to
help in smart business decisions
Mobile Cloud
IT Apps OT Apps
Communication
(CoAP, MMQT, Resful API)
IoT
Platform
IoT
Business
Solution
APIs/Integration
Holistic
BI/Analytics
Data
Thing Management
APIs/Integration
Gateways
Things

21. Accelerator: Alert Engine
Rule based clinical Decision alert and
notification system for clinical staff and
patients.
 Automatically generate electronic
alerts in real-time.
 Customize alerts based on medical
information and predefined clinical
rules
 Template based alert content
management
 Define custom clinical rules for
automatic alerts
 Effective rules to project actionable
alerts.
 Enable the user to monitor and track
the alerts as well as access/ act on the
alerts from anywhere

22. Accelerator: Alert Engine
App-Collect patient's
Glucose readings
from a glucometer
device integrated to
the EHR
Integrated EHR - Patient Data
Event Defined - Clinical
EHR Data - API trigger event on
Glucometer data received
Rules Engine
Triggers Rules
Engine
Rule Admin
Configuration
Manager
Alert Action
Acknowledge/
Escalate
SMS/
E-Mail/Message

23. Accelerator: Field Workforce Management
Mobile Application
Appointments Video/Text Chat
Vitals Recording
Tasks assignment
Secured Data
Transactions
Time Log
FFM – Remote Patient Care Mobile Platform Features
Technologies
 ACL’s Field Force Management
framework automates and eases the
practical process of managing the on
field professionals using the mobile
applications.
 Appointments and tasks scheduling, time
and location based tracking of
appointments, real time tracking of users
locations from the server portal.
 Real time online Audio/Video and Text
chat with users in case of emergencies
 Users and Roles Management with
Admin dash board web application with
real time tracking of on field users.
REST APIs
Web based
dashboard and admin
Panel for Scheduling
and Monitoring
Users (Doctors / Nurses / Patients) Management
Patient’s inventory Security for Data Tx
Appointment
Management
FFM – Remote Patient Care Server Platform Features
MySQL DB
FFM - Remote Patient Care Server
GCM / Firebase
Push Notifications

24. Accelerator: Visualization Framework
 Users have too much clutter and
need the ability to select and focus
on just what they need in order to
make effective decisions.
 Data residing in multiple systems /
products, but users need to see a
holistic view in one place in order
to make effective decisions.
 Multiple Channels: Proliferation of
browsers and form factors.
Expensive and time consuming to
keep up.
 Dashboards Framework help
decision makers access and identify
the right information, that when
combined, provides additional
insight leading to more informed
decisions
Mobile
Tablet
Desktop
Widget
Module
Configuration
Module
Theming
Module
Dashboard Framework
HTTP
Request
HTTP
Response
Database
(Oracle, MySQL
& SQL Server)
Data LayerService API
Request
Response
Responsive
Web App
(All browsers)
Mobile App
(IOS, Android
& windows)
Devices
DataAccessLayer
Web APIs

25. Case Study: Cloud Based Sensor Management Solution
Business Needs
 Client approached to
develop a cloud based sensor
management solution,
Remote sensor configuration
and equipment management
etc.
 To build a real time Analytics
based on the sensor data to
easily take decisions.
 Develop work order
management for Brewery
Industry connected with
Sensors
Solutions
 Wireframe - discuss and lay
out the intricate details of how
the user would interact with
the app.
 Included step-by-step screen-
flow doc was included with the
wireframes
 Developed the minimum
viable product to demo the
concept and get feedback.
 Build the analytical engine to
do the real time analysis and
sentiment analysis
 Developed a chat tool to
communicate from the system
 Sensor management solution
on cloud
 Anamoly detection of work
orders for brewery industries
 Remote Sensor
configurations and setting
the parameter
 Tract and get the live
analytical data from all the
sensors
 Responsive system across all
platforms and devices
 Sentiment Analysis
Benefits
 Adobe Experience design
 HTML5 / CSS3 , Bootstrap
 Javascript Libraries -
Angularjs , D3js, Highcharts,
Python, Nodejs
 Php, mysql
Technology / Tools

26. Case Study: Car Dealer
 Improve Buying Experience - allows buyer to inspect cars of their
choice without being intrigued by the presence of the dreaded Car
Salesperson
 Improve - Sales Intelligence before the sale. Car Salesperson silently
watches buyer activities on his/her device. The salesperson is armed
with information on buyer inclination, choice and preferences.
 Inventory - manage inventory, see on and off lot location of vehicles
and get alerted to basic vehicle maintenance like low battery.
Buyer Enters
the Dealership
Is handed
over the iPad
Activated iPad
detects iBeacons
Placed on cars
in the vicinity
Buyer selects a
iBeacon to
review a specific
model
Buyer customizes
trim/makes
selection as per
his/preference
Sales person
continuously
monitors buyer
behavior online
Sales Person
approaches buyer
with a customized
deal to close the sale

27. Case Study: Identify Propensity For a Patient Re-admission
Business Problem : A healthcare facility wants to identify a patient's chance of getting
re-admitted upon discharge within 30 days. Patient readmission is one of the
parameter used to evaluate the quality of the hospital care.
Benefits: Clinicians can be prepared to provide better post-discharge care for patients
who are likely to get re-admitted. Hospitals can avail benefits from Government and
avoid enquiries from Insurance companies. Rates of 80% or lower are considered
optimal by the agencies. Hence it is necessary to predict and take actions to reduce
readmission.
Project Highlights
 Identify the Predictors. Several direct and indirect parameters can also be reason for readmission. It could be related to the previous
visit or some unplanned readmission which are not preventable.
 Process the Datasets & Refine the dataset for building Model/Analysis. Discarding noisy and heterogeneous data with hundreds of
relevant yet sometimes correlated attributes.
 Identify suitable Algorithm
o Gradient Boosting
o Random Forest
 Build/Evaluate the Model. Distributive query processing was performed through Hive and it enabled important quality metrics to be
developed across different dimensions.
 Data Visualization
o .csv is converted into JSON format
o Displayed using Alten Calsoft Labs UI framework
 Data for analysis - 421 readmissions within 30 days; Prediction on a scale of 0.77 was achieved.
Solution Details
• Hortonworks HDP
• Ambari
• Hive, MapReduce
• Python, R
• Gradient Boosting
• Random Forest algorithm
• Scikit-Learn Tool
• REST API
• ACL UI Framework
Tools and Algorithm Used

28. Case Study: Cloud Based Wi-Fi Solution
Cloud-based Wi-Fi solution
 Development of Virtual Network Functions (VNFs) for WLAN controller, location-based services etc.
 Solution architecture based on x86 servers
 OpenStack-based orchestration & management platform with portals & role-based access control (RBAC)
Cloud-based Wi-Fi solution
Logging
Reporting
Monitoring
Entitlement Infrastructure (x86 Server)
VI Manager (OpenStack)
VNF
VNF Orchestration
& Management
Customer Experience Management (CEM)
 CEM is a proactive monitoring system that predicts the network behaviour & helps the customers to avoid
network failures
 It measures the effectiveness & efficiency of VNF services
 CEM can trigger a test at a given time to measure the efficiency of network by simulating 10000 mobile
users etc.
VNFs & services developed & managed
WLAN Controller to manage Access Points (APs)
 Access Point & radio management
 Hotspot2.0-based roaming
WLAN gateway to manage network traffic
 Load balancing & traffic controlling
 Authentication
 Network behaviour Management
Wi-Fi Analytics Engine
 Collects network performance data
 Provides statistics & metrics
 Analyse, assess & prepare report
Location-based Services
 Recognize client location
 content delivery based on location

29. WHY ALTEN CALSOFT LABS
Engineering Excellence Speed to Market, Frameworks Cost Reduction
Device to Cloud Expertise
Expertise on SDN, NFV
Orchestration Framework
VNFs- vCPE, VPN Gateway
TR069, Alert Engine
Field Workforce Management
Visualization
Frameworks – “0” COGS
Professional Services– “0” COGS
Labour ArbitrageExpertise on Multi-Cloud Integration

30. CONTACT US
Write to us : business@altencalsoftlabs.com
Visit Our Website: https://www.altencalsoftlabs.com
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