DefOS powered Anti Drone Weapon protects Red Fort

DefOS powered Anti Drone Weapon protects Red Fort

→ Insights

DefOS powered Anti Drone Weapon protects Red Fort

Def OS platform powers the Anti UAV / Anti Drone system for CHESS / DRDO Lab’s laser weapon. The AUAV solution is built on the Grene DefOS platform and integrates Radars, Electro-Optics, ESM systems, third party Weapon systems as well as Jammers. The highly compact interface and coupled display systems enable both local as well as networked command and control operations.

Continue reading

Autonomous Navigation of UGV (Unmanned Ground Vehicle)

→ InsightsDefOS Auto Navigation suite comprises the full stack of ROS, SLAM and AI. The ARNS straddles, kinematic characterisation of the robotic vehicle, Kalman filters for guidance navigation, odometry, visual odometry, sensor integration, SLAM navigation,...

Is your interface AI ready ?

→ Insights The perception of #AI has completely disrupted the way we look at any piece of Data today. While, the most popular consumer apps of the world #Uber, #Amazon and #Netflix offer an immersive interactive experience, where the end user can experience the power...

Autonomous Defence Dome for Wide Aerial Protection

Autonomous Defence Dome for Wide Aerial Protection

→ Insights

Autonomous Defence Dome for Wide Aerial Protection

Autonomous Drone Defence Dome (AD3)

A powerful Anti-Drone Dome that fortifies a large area / city against drones and drone swarms.

C4ISRT platform

A singular backbone that allows seamless connectivity and interoperability between diverse EM systems ranging from Radar, Optical, Discrete, EW and Several platforms including Aircraft Mission Computers , UAV platforms, Swarms and weapon systems of all classes. The platform has been curated by over 25 years of integration expertise in C$ISRT. The platform has witnessed several Mission Critical Operational Deployments and provides the most comprehensive interoperability environment between systems military. At the current juncture, several major deployments are being planned for implementation over this platform.

3D GIS

A comprehensive 3-dimensional GIS based Display System for all use cases of C4ISRT. Some of the representative models include aircraft fly throughs, radar detections, imagery analysis, weapon deployments, Gap Analysis, targeting information, change detection, RF propagation models, weapon engagement envelopes, radar capabilities, deployment analysis and planning.

Continue reading

Autonomous Navigation of UGV (Unmanned Ground Vehicle)

→ InsightsDefOS Auto Navigation suite comprises the full stack of ROS, SLAM and AI. The ARNS straddles, kinematic characterisation of the robotic vehicle, Kalman filters for guidance navigation, odometry, visual odometry, sensor integration, SLAM navigation,...

Is your interface AI ready ?

→ Insights The perception of #AI has completely disrupted the way we look at any piece of Data today. While, the most popular consumer apps of the world #Uber, #Amazon and #Netflix offer an immersive interactive experience, where the end user can experience the power...

Autonomous Navigation of UGV (Unmanned Ground Vehicle)

Autonomous Navigation of UGV (Unmanned Ground Vehicle)

→ Insights

Autonomous Navigation of UGV (Unmanned Ground Vehicle)

DefOS Auto Navigation suite comprises the full stack of ROS, SLAM and AI. The ARNS straddles, kinematic characterisation of the robotic vehicle, Kalman filters for guidance navigation, odometry, visual odometry, sensor integration, SLAM navigation, exploration and exploitation of space to realise autonomous navigation. Grene applies several collaborative and reinforced learning algorithms to the navigation stack to achieve improved results. Grene is progressing R&D work on SWARM robotic navigation to enable autonomous robotic and soldier navigation in uncharted, undulating open spaces.

Continue reading

Autonomous Navigation of UGV (Unmanned Ground Vehicle)

→ InsightsDefOS Auto Navigation suite comprises the full stack of ROS, SLAM and AI. The ARNS straddles, kinematic characterisation of the robotic vehicle, Kalman filters for guidance navigation, odometry, visual odometry, sensor integration, SLAM navigation,...

Is your interface AI ready ?

→ Insights The perception of #AI has completely disrupted the way we look at any piece of Data today. While, the most popular consumer apps of the world #Uber, #Amazon and #Netflix offer an immersive interactive experience, where the end user can experience the power...

Finance and Banking Advisory Industry should leverage on Process Autonomy now!

Finance and Banking Advisory Industry should leverage on Process Autonomy now!

→ Insights

Finance and Banking Advisory Industry should leverage on Process Autonomy now!

Many leading financial services providers like banks, insurance companies including wealth and asset managers have successfully piloted robotics solutions, but relatively very few have succeeded in industrializing the benefits.

Robotic Process Automation helps financial organizations more easily accommodate change and embrace increasing complexity. As the market demands service, the pressures of competition grow in that market, your organization will need to continually change and evolve to stay in the mix. Robotic Process Management is easily scalable, with quickly deployable turnaround time and rapidly adaptable to tackle ever more, and ever more complex workflows, without adding to your operational headcount.

Software robotics promises to provide a solution that can rapidly automate all back-office and customer facing processes, making them faster, significantly more cost effective, and improving service consistency and maintaining regulatory compliance. Rather than looking at Robotics Process Automation (RPA) as a threat it can become complementary to any workforce, working hand in hand with people to help them focus on other higher priority tasks, also helping them improve their work efficiency and performance.

RPA is best for repetitive activities that require little intervention and that computers can do much faster than humans. Financial services companies across different sectors are all leveraging RPA and seeing massive benefits in the process. While RPA has implications in a variety of different industries, financial service institutions, like banks and insurance companies, stand to benefit the most. Especially because this industry is heavily regulated and has high security, auditability, and data quality demands, robotics and automation just make sense.

RPA agents can also assist in many of the services that consumer banks offer to their clients. For example, they can calculate mortgage and loan rates based on a customer’s credit score and history with the bank. You can also use RPA agents to determine whether customers qualify for refinancing their loans and send them notifications about loans that are in delinquency or default. Agents can also assist insurance companies at every stage of the sales funnel, from generating leads to cross-selling and up-selling. For example, you can use RPA to automatically download leads from websites that allow visitors to comparison shop with different insurance providers.

From car insurance to life insurance, RPA agents can update a customer’s policy based on claims and events. Not only can they accurately distribute payments, they can also find and correct data discrepancies on multiple systems.

According to the 2017 Deloitte state of cognitive survey, 76 percent of companies surveyed across a wide range of industries believe cognitive technologies will “substantially transform” their companies within three years. While independent studies suggest full return on investment within a year.

Studies suggests RPA can reduce manual operations costs by 25% to 40% or more, it does this while improving service and compliance, and typically provides a return on. Because the software replicates human activity, forming a virtual workforce available 24 hours per day, with full audit and 100% accuracy and transparency.

As financial services companies see the benefits of using RPA, we expect that more and more of them will take the leap. In the workplace of the future, RPA won’t be a competitive edge any longer. Instead, it will be a necessity for companies seeking to provide high-quality performance and service in a crowded financial services landscape.

Continue reading

Autonomous Navigation of UGV (Unmanned Ground Vehicle)

→ InsightsDefOS Auto Navigation suite comprises the full stack of ROS, SLAM and AI. The ARNS straddles, kinematic characterisation of the robotic vehicle, Kalman filters for guidance navigation, odometry, visual odometry, sensor integration, SLAM navigation,...

Is your interface AI ready ?

→ Insights The perception of #AI has completely disrupted the way we look at any piece of Data today. While, the most popular consumer apps of the world #Uber, #Amazon and #Netflix offer an immersive interactive experience, where the end user can experience the power...

Grene Robotics to raise $15 million in Series A funding by April

Grene Robotics to raise $15 million in Series A funding by April

→ Press Release

Grene Robotics to raise $15 million in Series A funding by April

HINDU BUSINESS LINE: Hyderabad-based Grene Robotics is planning to raise $15 million in a Series A funding. It has initiated discussions with several capital funds, large business houses and crowd-funding firms.

“Ideally we would like to raise about $15 million, but depending on investor interests it could be more. We can even go up to $30 million. We are looking at raising funds, mostly growth capital, by April,” Grene Robotics Founder and CEO Kiran Raju told BusinessLine. “The funds will be largely utilised for customer acquisition to raise the order book up to $55 million,” he added, but declined to name the funds before deals are signed. Grene Robotics had so far invested $6 million raised from family and friends and others, including serial entrepreneur and investor Jay Krishnan. The company is also planning immediate forays into countries such as Singapore, the US, Africa and the UK, for which also a part of the funding would be used. The company’s flagship product GreneOS is a unified Operating System that would be a replacement to enterprise systems in Fortune 1000 companies and Government offices across the world. GreneOS will be able to manage connected robots to maximum efficiency autonomously. Kiran Raju, who had worked on building autonomous systems for Defence Advanced Research Projects Agency (DARPA) while doing his Masters at Carnegie Mellon University, was the co-founder of energy efficiency company Valence Energy. Valence Energy was later acquired by US-based Serious Materials, which is now called Serious Energy. His second venture, SA Habitat, which was into housing and real estate, got merged with a partner company in 2010.

 

Source – Hindu Business Line

Continue reading