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Software Development-Samsung

Origins-AI and Samsung Partnership: Advancing IoT Development and User Verification

The partnership between Origins-AI and Samsung R&D Institute India was established to enhance IoT solutions and ensure robust user verification mechanisms. Working as a Software Development Firm for Samsung’s IoT team , Origins-AI played a vital role in developing tools, designing models, and leveraging machine learning to analyze user data for fraud detection. Key contributions included plugin development for Tizen Studio and server and web tools to streamline data visualization and improve IoT security.

Industrial Factory

About Samsung

Samsung India, a subsidiary of South Korea’s Samsung Electronics, has been a significant player in India’s electronics market since its establishment in 1995. The company operates two major manufacturing plants: one near Chennai, producing home appliances like refrigerators and washing machines, and another in Uttar Pradesh, recognized as the world’s largest mobile factory since 2018. In the smartphone segment, Samsung holds a substantial market share, producing most devices domestically. The company also leads India’s smart TV market and operates three R&D facilities in Noida and Bengaluru.

Our Partnership with Samsung

Industry

Technology & Electronics

Services

IoT Data Analysis and Model Development

Business Type

Research & Development

Technologies Used

Python
Machine Learning
Server Development
IoT Sensors
Data Visualization Tools

The Challenges

IDV (IoT Data Validation)

Ensuring the authenticity of smartwatch user data was a critical issue, especially with data coming from various sensors such as accelerometers and gyroscopes. The challenge was to filter out unreliable data that could potentially skew user identification accuracy.


MCC (Model Calibration Complexity)

Calibrating the machine learning model for detecting fraudulent behavior required extensive tuning due to variations in user walking patterns and sensor data accuracy. The challenge intensified as the model had to differentiate subtle behavioral nuances between legitimate and fraudulent users while adapting to new data continuously.


PLD (Plugin Development Delay)

Developing plugins for Tizen Studio to support both Eclipse and Visual Studio Code environments introduced significant integration challenges. Differences in IDE architectures and their handling of TypeScript led to compatibility issues, causing delays and impacting developer productivity.


SRL (Server Reliability):

The server handling data uploads and model retrieval faced performance bottlenecks due to high data volumes and varied user access patterns. Ensuring stable, uninterrupted service while managing concurrent requests from multiple devices posed a major reliability challenge.


Manufacturing Process Image

The Solutions

Data Validation Pipeline

We implemented a robust data validation pipeline that pre-processed data from smartwatches, filtering out anomalies and detecting inconsistencies.

Model Refinement

Leveraging advanced machine learning techniques, we calibrated the model using diverse data sets that represented various user profiles and behaviors.

Server Optimization

Server optimization included restructuring code for efficiency, implementing caching strategies, and using load balancers to distribute incoming requests evenly.

Multi-IDE Plugin Integration

To address compatibility issues, we implemented a unified plugin structure in TypeScript and added an automated testing framework to catch IDE-specific issues early in development.

See our Excellence being validated


What Our Partners Say?

Apoorva came in and not only took over the full backend technology but also built an amazing team of talented engineers who were hungry to make an impact. He optimized our technology function end to end starting from building an in-house technology team

★★★★★

Ashit Joshi

Ex Director of Engineering Chegg

Gaurav is super good at troubleshooting issues and does necessary research and identifies the approach/root cause. Given a problem he comes up with quick proposals/solutions with the required amount of research.

★★★★★

Sathishkumar Subramaniam

Amazon

From the start, Apoorva impressed me with his remarkable creativity. He consistently brought fresh perspectives and innovative solutions to the table, challenging the status quo and pushing our team to think outside the box.

★★★★★

Rupesh Bansal

Software Engineer

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