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Development of Scalable Trusted Hardware Platform for Industrial IoT Applications
  1. case
  2. Development of Scalable Trusted Hardware Platform for Industrial IoT Applications

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Development of Scalable Trusted Hardware Platform for Industrial IoT Applications

dac.digital
Agriculture
Manufacturing
Logistics

Challenges with Existing Hardware Solutions

AgriTech Solutions Inc. currently faces challenges in integrating and managing diverse sensor data from various sources within agricultural environments. Their existing hardware solutions lack a robust, secure, and scalable platform for data processing and transmission, leading to data integrity concerns, limited connectivity in remote areas, and difficulty in adapting to evolving agricultural technologies. They also lack in-house expertise in trusted hardware development.

About the Client

AgriTech Solutions Inc. is a leading provider of IoT solutions for the agricultural sector. They specialize in developing and deploying sensor networks and data analytics platforms to optimize crop yields, livestock management, and supply chain efficiency.

Project Goals

  • Develop a scalable and secure trusted hardware layer for IoT deployments in agriculture.
  • Improve data integrity and reliability from remote sensor networks.
  • Enhance connectivity in areas with limited internet access.
  • Enable edge computing capabilities for real-time data processing and decision-making.
  • Provide a customizable platform adaptable to various agricultural applications (e.g., livestock monitoring, irrigation management, crop health monitoring).

Functional Requirements

  • Data Acquisition: Collect data from various sensors (temperature, humidity, soil moisture, GPS, etc.).
  • Edge Processing: Perform local data processing and analysis.
  • Secure Data Transmission: Securely transmit data to a central platform.
  • Connectivity Management: Support multiple communication protocols (Bluetooth, CAN, RS232, I2C, USB, Ethernet, GPS, GSM/LTE).
  • Remote Monitoring & Control: Enable remote monitoring and control of connected devices.
  • Customizable Data Analytics: Allow for custom data analytics and reporting.
  • Device Management: Provide a secure device management interface.

Preferred Technologies

Bluetooth 5.0
CAN bus
RS232
I2C
USB
Ethernet
GPS
GSM/LTE
Edge Computing Framework (e.g., NVIDIA Jetson)
Trusted Platform Module (TPM)

Required Integrations

  • Cloud-based data analytics platform (e.g., AWS IoT, Azure IoT Hub)
  • Existing AgriTech Solutions Inc. data management systems
  • Third-party sensor data providers

Non-Functional Requirements

  • Scalability: The platform must be able to support a large number of devices and data streams.
  • Security: Secure data transmission and storage are critical to protect sensitive agricultural data.
  • Reliability: The system must be highly reliable and resilient to environmental conditions.
  • Performance: Low latency for real-time data processing.
  • Power Efficiency: Optimized for battery-powered operation in remote locations.

Expected Business Impact

Implementing a trusted hardware layer will enable AgriTech Solutions Inc. to expand its service offerings, improve data accuracy and reliability, enhance operational efficiency for its clients, and gain a competitive advantage in the agricultural market. It will also reduce the risk of data breaches and ensure compliance with industry regulations.

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