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Modular Test Management System for Advanced Sensor Devices
  1. case
  2. Modular Test Management System for Advanced Sensor Devices

Modular Test Management System for Advanced Sensor Devices

altoroslabs.com
Automotive
Manufacturing
Supply Chain

Identified Challenges in Testing Complex Sensor Technologies

The client currently relies on legacy testing management tools that are difficult to maintain and expand, leading to vendor lock-in risks, increased costs, and limited scalability. They need a flexible, maintainable testing platform to enhance their sensor device performance evaluation, supporting diverse scenarios such as varied environmental conditions and obstacle detection, while seamlessly integrating into their existing cloud ecosystem.

About the Client

A mid-sized technology company specializing in the development and testing of proprietary sensor devices for automotive safety and autonomous vehicle applications, seeking scalable testing solutions.

Goals for Developing an Adaptive and Scalable Test Management System

  • Develop a modular, maintainable system capable of managing the entire lifecycle of sensor device performance testing.
  • Enable the addition and management of multiple testing scenarios on demand with high availability and scalability.
  • Implement automated updates and monitoring functionalities to ensure reliability and minimize errors during testing.
  • Facilitate seamless integration with existing cloud infrastructure for data transmission and analysis.
  • Support testing across diverse conditions including weather simulations, obstacle detection, and off-road driving environments, improving accuracy and consistency.

Core Functional Capabilities for the Sensor Testing Management Platform

  • Test scenario lifecycle management: start, stop, and automate scenario execution.
  • Automated system updates initiation through a launcher module to streamline development.
  • Monitoring module for real-time status tracking, error detection, and system health checks.
  • Event logging component to record test activities and outcomes.
  • Reporting module capable of generating visual test result summaries and health reports.
  • REST API to facilitate data transfer to the cloud-based analysis platform.

Preferred Architectural Approaches and Technologies

Modular microservice architecture
Cloud-based infrastructure with scalability support
REST API for data communication
Automated deployment and update mechanisms

External System Integrations Needed

  • Existing cloud analytics systems for data processing
  • Sensor device firmware and hardware interfaces
  • Environmental simulation tools for scenario testing

Critical Non-Functional System Requirements

  • High availability and scalability to support on-demand testing scenarios
  • Minimized error rates during testing, ensuring accuracy
  • Rapid response time for monitoring and logging functions
  • Maintainability to support continuous system evolution
  • Security measures to protect sensitive test data and system integrity

Anticipated Business Benefits and Performance Improvements

The developed testing system is expected to enable the client to expand testing scenarios rapidly, support increased testing throughput, and improve test accuracy, ultimately accelerating sensor technology validation and reducing time-to-market. The modular, maintainable architecture will facilitate ongoing enhancements, contributing to a more agile development process and competitive advantage in the automotive sensor industry.

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