This is our offering for the edge computing and edge intelligence using IoT devices, frameworks and related technologies to bring in better intelligence at the edge

1. Mar 23 2021
Edge Intelligence Services Catalogue
Bhadale IT Developers Pvt. Ltd | Bhadale Engineering Developers Pvt. Ltd
105 Kingswood Drive Brampton, ON L6V2X5| Website: https://www.bhadaleit.com/

2. Edge Intelligence Services catalogue Bhadale Group of Companies
Bhadale Group of Companies
Bhadale Group of Companies consists of:
1. Bhadale IT Developers Pvt. Ltd is an IT and Computer Engineering subsidiary company
This division provides consultation in areas of cutting edge technologies, research outsourcing, and
software consultation related to data center and related engineering practices
2. Bhadale Engineering Developers Pvt. Ltd is a multi-engineering subsidiary company
Various divisions under this group provide design, & development of various IT and Engineering programs.
Bhadale Group has aggressive programs in place to serve the niche market. Below is related to Edge Intelligence Services
Bhadale Group IT Division, Edge Intelligence Services department
Below are few of our service offerings:
Autonomous systems design using Edge technologies: Edge computing/intelligence frameworks and analytics
frameworks/ products are used to design best closed loop control systems and optimal command and control units that
use emerging frameworks and architectures
Edge to Cloud intelligence: Enterprise level intelligence systems design for strategies, long term intelligence, and better
predictions for maintenance, prescriptions for various critical parameters, and aggregating data from edge and fog
systems for corporate dashboards and automated, semi-automated and fully automated decision making and control
Edge to Mobile intelligence: Mobile level intelligence systems design for real time events , social media sentiments, 5G
network related data gathering and intelligence, and better predictions for maintenance, prescriptions for various
critical parameters, and aggregating data from edge and fog systems for mobile apps and automated, semi-automated
and fully automated decision making and control from mobile systems
Edge to Fog intelligence: Fog level intelligence systems design for near -real time events , IoT ,sensors data, 5G network
related data gathering and intelligence, and better predictions for maintenance, prescriptions for various critical
parameters, and aggregating data from edge systems for decision making and control from the fog
Edge Algorithms design: Design of AI/ML algorithms for the edge computing, design of small footprint modules, proper
communication protocols, messaging queues, large database techniques for compressing and reduced energy
consumption. Design of edge sensors, radio units, AI modules, and Low power protocols that enable better AI at edge
and footprint less than 500MB that can be installed in devices like Rasperberry Pi
Edge big data systems design: Design of big data algorithms for the edge computing, design of small footprint modules,
proper communication protocols, messaging queues, large database techniques for compressing and reduced energy
consumption
Edge integration solutions: Integration with 5G networks, legacy, standalone systems, fog and cloud computing, design
of data lakes, enterprise big data systems to bring in the analytics at all stages, field level, fog level and enterprise level
for operations, strategy and in transit data intelligence
Industrial Solutions: We offer top vendor products and frameworks that enable better edge computing, analytics and
intelligence for real time responses and mission critical systems

3. Edge Intelligence Services catalogue Bhadale Group of Companies
Details of the above are put in the table below
Product details
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We have a large set of subcategories; few are mentioned below with details tabulated
Service
No
Service Name Key Service features
1 Autonomous
systems design
using Edge
technologies
Edge computing/intelligence frameworks and analytics frameworks/ products are
used to design best closed loop control systems and optimal command and control
units that use emerging frameworks and architectures
Design integrated solutions using technologies, including sensing, localization,
perception, decision making, as well as cloud platforms for high-definition (HD) map
generation and data storage. Integration with Fog and enterprise cloud systems with
increasing complexity and computing power requirements.
We design Systems based on various cross cutting view-points from different
paradigms like AI, 5G, Cloud, Ubiquitous Intelligence (AI + Cloud), Edge Cloud
Computing (5G + Cloud) , Multi-Access Edge Computing (MEC) , Autonomous
Infrastructure (AI + 5G), Contextual and situational awareness (Cognition) and open
frameworks . Design of intelligent Gateway, high speed sensors, digital cameras,
LiDAR, GPS satellite coordinates, blind navigation, fall back mechanism to handle any
serious traffic conditions that stop the movement of the vehicle
We use various Systems engineering tools like SysML, Systems of Systems(SoS),
MATLAB, to design, simulate and test various real life conditions before deploying the
system along with closed loop intelligent control algorithms at the edge
2 Edge to Cloud
intelligence
Enterprise level intelligence systems design for strategies, long term intelligence, and
better predictions for maintenance, prescriptions for various critical parameters, and
aggregating data from edge and fog systems for corporate dashboards and
automated, semi-automated and fully automated decision making and control

4. Edge Intelligence Services catalogue Bhadale Group of Companies
We use edge intelligence frameworks like:
1. EdgeX Foundry: Dell, OMG integration
2. FogHorn : FogHorn Lighting AI at edge
We offer solutions for intelligence that is propagated right from edge to enterprise
cloud and back for key control signals and event orchestration and management
Edge based IoT sensor data, telemetry, big data, RAN data , M2M data, router data,
ambient data, failure data, events data, and many more critical data frames are
moved to the cloud by means of queues, air interfaces and persisted /stored for later
on analysis.
3 Edge to Mobile
intelligence
Mobile level intelligence systems design for real time events , social media sentiments,
5G network related data gathering and intelligence, and better predictions for
maintenance, prescriptions for various critical parameters, and aggregating data from
edge and fog systems for mobile apps and automated, semi-automated and fully
automated decision making and control from mobile systems
We use standard device-to-device (D2D) discovery, pairing and data transfers using 5G
protocols either directly or through a proxy or a packet forwarder layer. In doing so,
we offer intelligent routing of packets, to and fro from the edge to the mobile UE and
edge devices. Suitable IoT devices, and protocols are used that enable better
compliance to 5G QoS requirements. Relevant overlay and underlay networks are
used to meet the client needs and offer intelligent decision making reports
4 Edge to Fog
intelligence
Fog level intelligence systems design for near -real time events , IoT ,sensors data, 5G
network related data gathering and intelligence, and better predictions for
maintenance, prescriptions for various critical parameters, and aggregating data from
edge systems for decision making and control from the fog
We design solutions with OpenFog Reference Architecture, interfaces, and protocols
as required for optimum 5G network connectivity from Edge to Fog platform. The fog
layer is composed of powerful devices that make decisions, store data, and manage
edge devices connected through the radio access network (RAN), for example, WLAN,
WiMAX, and cellular networks, use of LISP protocol, for fog devices mobility like
decoupling host to location identity
5 Edge Algorithms
design
Design of AI/ML algorithms for the edge computing, design of small footprint
modules, proper communication protocols, messaging queues, large database
techniques for compressing and reduced energy consumption. Design of edge sensors,
radio units, AI modules, and Low power protocols that enable better AI at edge and
footprint less than 500MB that can be installed in devices like Rasperberry Pi
Algorithms that enable better capture of data, streaming, data intelligence, AI
inference, peer device discovery, UE type, device type detections, failure detections,
DDoS attack detection, theft detections, power usage, image, object detection, quick
classification of data, quick analysis for local decision making and many more AI+ML+
big data algorithms that have small footprint are used in our design

5. Edge Intelligence Services catalogue Bhadale Group of Companies
6 Edge big data
systems design
Design of big data algorithms for the edge computing, design of small footprint
modules, proper communication protocols, messaging queues, large database
techniques for compressing and reduced energy consumption
Edge devices that handle large data streams like in big data paradigm need better
attention to the data capturing, processing and analysis before being transferred to
storage servers. Few of the design optimizations are:
1. Dimension reduction in the IoT real-time Big Data analytics
2. Monte Carlo Sampling for real-time Big Data analytics
3. Compressed sensing
4. Low-rank matrix factorization, streaming, and hardness of approximation
5. Algorithms to predict at various quality and granular levels just in time to take
quick decisions in real-time
6. Use of hybrid and various estimation techniques to interpolate / extrapolate
missing data that might be critical
7. Real time message queues with interfaces with 5G functions
8. Using As-Is data to mine intelligence without much pipeline processing for real
time analysis
9. Reduced images of containers, and on demand loading of modules, memory
optimization and reliable communications and in-memory operations as
required
10. Parallel processing, hardware level accelerations and smaller running time
algorithms
7 Edge integration
solutions
Integration with 5G networks, legacy, standalone systems, fog and cloud computing,
design of datalakes, enterprise big data systems to bring in the analytics at all stages,
field level, fog level and enterprise level for operations, strategy and in transit data
intelligence
We offer integration solutions to industry edge devices like:
1. NVIDIA’s EGX
2. Google’s Edge TPU
3. AMD Embedded G-Series
4. Intel Movidius
5. Qualcomm Turbo
6. Apple’s Xnor
7. Hitachi Smart Camera
8 Industrial Solutions We offer top vendor products and frameworks that enable better edge computing,
analytics and intelligence for real time responses and mission critical systems. We use
edge servers, few of these are:
1. HPE Edge oriented servers – Edgeline EL20, – Edgeline EL1000, – Edgeline
EL4000
2. DELL Edge oriented servers- DELL Edge Gateway 3001, DELL Edge Gateway
3002, DELL Edge Gateway 3003, DELL Edge Gateway 5000
3. IBM Watson: Watson IoT Platform Edge Analytics

6. Edge Intelligence Services catalogue Bhadale Group of Companies
For more details, contact below:
Contact
Bhadale Group Pvt. Ltd
Program Manager: Vijay Mohire, +91-9741040195; Email: vijaymohire@gmail.com