Digital Solutions
Our Solution
Digital Solutions
Digital Solution
RefactoFlow
RefactoFlow – RefactoFlow Test AI is a cutting-edge Generative AI-Powered system engineering and test case generation tool desing to automate and enhance requirement analysis,test case generation, and validation processes.Our Ai-driven solution seamlessly integrates with Tessy and other industry-standard tools, ensuring a faster, more accurate, and efficient testing workflow


Digital Solution
PiknikNow
Digital Solution
STAFD.IN
Our AI-powered, cloud-native SaaS web app streamlines talent acquisition and strategic deployment. It unites candidates, recruiters, and placement companies for seamless collaboration on tech projects. Catering to industries like automotive software and semiconductor chip design, we optimize the staffing journey with advanced analytics and intelligent algorithms.
Key Features:
1. Seamless Connectivity
2. Tailored for High-Tech Industries
3. AI-Driven Insights
4. Cloud-Native Scalability
5. Efficient Talent Acquisition
6. Targeted Deployment


Digital Solution
Tire Quality Mark Detection
Pioneering Tire Code Detection & Recognition. Our system excels in detecting low-contrast codes on tire sidewalls, providing crucial data for Tire Condition Monitoring. By leveraging advanced image processing, we accurately identify tiny logos to prevent counterfeit tires, ensuring unmatched accuracy and enhanced road safety.
Digital Solution
Predictive Analytics and Prognosis
Predictive maintenance is a proactive approach to the upkeep of industrial assets, such as truck engines, jet engines, wind turbines, and oil pumps, using predictive analytics models. These models analyze sensor data and other inputs to identify anomalies, monitor component health, and, crucially, estimate the remaining useful life (RUL). With predictive maintenance, maintenance can be scheduled at the optimal time—neither too early nor too late.


Digital Solution
Engineering Digitalization Lab Focus Areas
AI-ML & Generative AI Vision Solutions
Industrial IoT Sensor to Cloud
Virtual Development
Cloud Computing & Full Stack Development
Agile & DevOps Practices
Software Defined Vehicles
Digital Solution
sam-Sanvad; The Dialog
- Converts any Engineering document into interactive AI-BOT
- Interact based on context, content and persona

Digital Solution
Sam-SYS-flow : GenAI in System Engineering
- Automated generation of System Requirements and System Validation test cases (SYS2, SYS3, SYS4, SYS5)
- Test Report Analysis and traceability
- Contextualized for Cybersecurity, ASPICE etc
Digital Solution
autoMATE.ai : Intelligent Vehicle Assistant
- Contextual Voice base assistance to vehicle functionalities, e-Manuals, Diagnostic
- Integration to cockpit


Digital Solution
Software Defined Vehicle (SDV)
SAMSAN is activity participating in developing solutions for customers in all the 4 major parts of the SDV as below-
SDV.ONBOARD
- Platform development / migrations – Telechips, Qualcomm, Renesas, Android, QNX, Linux/AGL, Hypervisor, AUTOSAR
- V-HAL / CAN management
- HPC, specific domain controllers
- Middleware & Apps development
- FuSa & CySec
SDV.CLOUD
- Cloud enabled feature management
- Monetization through subscription management
- Service Oriented Architecture
- Containerization
- Connectivity with SDV.ONBOARD
SDV.OFFBOARD
- Backend application development
- Services oriented architecture
- Data collection, analytics and management
- Cybersecurity Analysis
SDV.DEV
- Creating development environment on cloud
- Virtual ECU
- DevOps/CloudOps
Digital Solution
samsan “vSense”
Collection of Algorithms on Computer vision and AI/ML for various applications- Driver monitoring, health monitoring, 360 Deg surround view, quality inspection, parts classification, predictive maintenance etc.
- Background removals / addition (for images/ videos)
- Fog removal / rain removal
- Image stitching
- Face recognition / theft detection
- Driver Monitoring (Yawning, Fatigue, driver in-attentiveness actions detection)
- Face liveliness / Emotion detection / Smile
- Age/gender detection
- ADAS ( Lane detection, Object detection)
- Gesture detection / Head posture detection
- Driver health monitoring (Camera + mmWaveRadar)



Digital Solution
Driver Health / Wellness Monitoring
Use Case:
To monitor driver health through sensor on steering wheel
Platforms Used :- Android SDK, Kotlin.
IDE : – Android Studio.
Functioning :
Phase-1 : Ready
- Development of Mobile App that gets the pulse data of driver health data via Bluetooth
- Retrieve data via UART port and process the string.
- Display the structured data on the mobile by processing it on predefined parameters.
- Visualize the values depending on the parameter range
Phase-2: (In progress)
- Adding a mmWaveRadar to the system that will provide additional information about driver wellness and around such as vital signs, detecting falls, movement patterns, occupancy sensing, fatigue / emotion sensing etc
- Using generative AI for driver wellness using health/vital data
Digital Solution
Mobile Refrigeration System (SAMCool) – Tailored Last-Mile Food Delivery Service
SAMCool is a cutting-edge mobile refrigeration system designed specifically for last-mile food delivery services. Our innovative solution ensures that perishable goods are transported at optimal temperatures, preserving freshness and quality from the supplier to the consumer. With a focus on efficiency and reliability, SAMCool offers customizable refrigeration units that cater to various delivery needs, whether for restaurants, grocery stores, or catering services. Our system is easy to use, energy-efficient, and equipped with advanced monitoring technology to guarantee compliance with health and safety standards. Choose SAMCool for a seamless and sustainable food delivery experience that meets the demands of today’s fast-paced market.




Digital Solution
Driveability Test System for 2W EVs – Cloud native SaaS Application
An intelligent, automated test system for vehicle drivability test. It’s a super mechanic who will analyze and diagnose vehicle for its standardized drivability testing
The main features are:
- Vehicle test – manual (visual inspection) and automated tests (Drive)
- Keep record and proofs of test data
- Video recording during the test
- Data collection on cloud for data analytics, decision support and continuous improvements
- Consistent scoring system of the drivability of the vehicle under test
