Project Info
Industry
Manufacturing
Challenge
Our client, a product development company with an R&D center in Bangalore, faced the significant challenge of designing and developing a C++-based framework. This framework needed to capture data from sensors (including RGB, Depth, and Point Cloud), publish sensor_msgs data, or custom message data to various modules, and display the captured data using OpenCV.
Our Solution
In our quest to meet the client's needs, we harnessed innovative solutions that reshaped the data management landscape. Our specialized application development and strategic Kubernetes deployment revolutionized the system, ensuring efficient data handling and seamless operations.
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Custom Application Development
We crafted a specialized application capable of subscribing to the topic where the framework published data. This application facilitated the seamless display of sensor data.
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Kubernetes Deployment
To ensure efficient deployment of the framework and application, we leveraged Kubernetes, an open-source container orchestration platform. This streamlined the deployment process, enhancing system performance and reliability.
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Custom Application Development
We crafted a specialized application capable of subscribing to the topic where the framework published data. This application facilitated the seamless display of sensor data.
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Kubernetes Deployment
To ensure efficient deployment of the framework and application, we leveraged Kubernetes, an open-source container orchestration platform. This streamlined the deployment process, enhancing system performance and reliability.
Benefits
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Optimizing DSX-HX
The development of the C++ framework significantly optimized the DSX-HX for enhanced performance, enabling the smooth flow of sensor data.
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MIPS Report Generation
Our solution enabled the generation of MIPS (Million Instructions Per Second) reports, providing valuable insights into the system's computational efficiency.
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Cycles Measurement and Optimization
We implemented a mechanism to measure and optimize processing cycles, enhancing system performance and resource utilization.
Impact on Business
Our innovative solution delivered remarkable impacts on the client's business operations. The key outcomes encompass enhanced system efficiency, valuable data insights, and optimal resource utilization. These results have not only optimized the existing processes but have also paved the way for data-driven decision-making, significantly benefiting the business.
Enhanced System Efficiency
Data Insights
Resource Optimization
Conclusion
Efficient Framework Development
Our solution efficiently addressed the challenge of designing a C++-based framework for sensor data management, enhancing system efficiency.
Resource Optimization
Leveraging Kubernetes for deployment and measuring processing cycles allowed for optimal resource utilization, resulting in cost savings.
Data-Driven Decision Making
The ability to generate MIPS reports empowered the client with data insights, enabling informed, data-driven decisions for further enhancements.