The Signaloid C0-microSD is a compact FPGA System-on-Module designed to enhance industrial automation, manufacturing, and robotics systems through hardware acceleration. It fits into standard microSD slots, enabling easy integration into existing systems. The device is powered by the Lattice Semiconductor iCE40 FPGA and comes with a preloaded RISC-V processor SoC, allowing for both custom FPGA designs and standard applications. It offers various configurations for I/O and supports popular frameworks like LiteX. The project is funded through a Crowd Supply campaign, with a commitment to quality and support for open-source toolchains. The Signaloid C0-microSD aims to improve data processing at the edge and is backed by a warranty for defects in materials and workmanship.
| name | description | change | 10-year | driving-force | relevancy |
|---|---|---|---|---|---|
| Programmable FPGA SoM | A tiny FPGA System-on-Module that fits in microSD slots for easy integration. | From traditional FPGA implementations to compact, accessible FPGA solutions. | Widespread adoption of programmable hardware in everyday devices and systems across industries. | The need for efficient, flexible computing solutions in industrial automation and IoT. | 4 |
| Uncertainty-tracking technology | Technology that quantifies data uncertainties affecting outputs in applications. | From static data analysis to dynamic understanding of data impacts on decision making. | Enhanced decision-making processes in AI and legacy systems through better uncertainty management. | The demand for more accurate and reliable data-driven decision-making tools. | 5 |
| Hot-pluggable FPGA module | The ability to easily add FPGA acceleration to existing systems without major modifications. | From fixed hardware setups to modular, upgradable systems in various applications. | Greater adaptability and customization in hardware setups for diverse industrial applications. | Shift towards modularity and flexibility in hardware design for efficiency. | 4 |
| Integration with existing embedded systems | Compatibility of the Signaloid C0-microSD with various embedded systems. | From isolated systems to interconnected and adaptable embedded solutions. | A more interconnected ecosystem of devices capable of advanced functionalities and integrations. | The growth of IoT and the need for compatible and expandable hardware solutions. | 3 |
| Support for open-source toolchains | Compatibility with popular open-source tools for FPGA development. | From proprietary development environments to open-source collaboration in hardware design. | A thriving community-driven ecosystem for hardware development and innovation. | The increasing popularity and acceptance of open-source solutions in technology sectors. | 4 |
| Compact carrier board for Raspberry Pi CM4 | A carrier board that enhances the capabilities of the Signaloid C0-microSD with Raspberry Pi. | From standalone FPGA boards to integrated systems that leverage popular SBCs. | A rise in hybrid systems that combine the strengths of different computing platforms. | The trend of combining hardware solutions to create versatile and powerful computing environments. | 3 |
| name | description | relevancy |
|---|---|---|
| Data Accuracy and Reliability | Concerns about ensuring the accuracy and reliability of data processing and outputs, especially when integrating with legacy systems and AI models. | 5 |
| Compatibility Issues | Potential challenges in ensuring compatibility across various operating systems, particularly with limited testing on Windows machines. | 4 |
| System Integration Risks | Risks associated with integrating the Signaloid C0-microSD into existing systems, which may lead to unforeseen failures or inefficiencies. | 4 |
| Limited Warranties | Concerns about the limited warranty coverage, which may leave users vulnerable to product failures and damages. | 3 |
| Misuse in Critical Applications | The potential for inappropriate use in life-critical or safety-critical applications, which could lead to serious consequences. | 5 |
| Data Loss and Damage | Risks related to loss of profits, revenue, or data due to indirect, incidental, or consequential damages as specified in the liability clause. | 4 |
| Uncertainty in Outcomes | The reliance on uncertainty-tracking technology raises concerns about how uncertainties are managed and interpreted in decision-making processes. | 4 |
| name | description | relevancy |
|---|---|---|
| Programmable Edge Computing | Utilizing FPGA-based hardware accelerators for edge data processing and automation, enhancing existing systems without traditional expansion options. | 5 |
| Hot-Pluggable FPGA Modules | The ability to easily plug and unplug FPGA modules for custom applications, promoting flexibility and rapid prototyping in development environments. | 4 |
| Integration with Legacy Systems | Facilitating the incorporation of advanced computing capabilities within existing embedded systems via microSD slots. | 4 |
| Uncertainty-Tracking Technology | Implementing technology that quantifies data uncertainty impacts, enhancing decision-making in data-driven applications. | 5 |
| Open-Source Toolchain Compatibility | Supporting various open-source tools for FPGA development, fostering community collaboration and innovation. | 4 |
| Compact Development Solutions | Creating compact carrier boards that allow for the integration of multiple components into small form factors, ideal for constrained environments. | 4 |
| Automated Testing and Programming | Utilizing automated tests and jigs for efficient production runs, improving reliability and speed in hardware deployment. | 4 |
| Data-Driven Decision Making | Providing platforms that enhance decision-making speed and safety by leveraging uncertainty analysis in AI models. | 5 |
| description | relevancy | src |
|---|---|---|
| A tiny programmable FPGA System-on-Module that enables hardware acceleration for data processing tasks at the edge. | 5 | 7282e0669b3842ecc2edd20c2e9849ca |
| Utilizes FPGAs to enhance processing capabilities in industrial automation and robotics systems. | 4 | 7282e0669b3842ecc2edd20c2e9849ca |
| An open standard instruction set architecture that allows for customizable processor designs, promoting innovation in embedded systems. | 4 | 7282e0669b3842ecc2edd20c2e9849ca |
| A technology to quantify how uncertainties in data affect outputs, enhancing data-driven decision-making. | 5 | 7282e0669b3842ecc2edd20c2e9849ca |
| name | description | relevancy |
|---|---|---|
| FPGA Integration in Industrial Automation | The ability to easily integrate FPGA modules into existing systems may revolutionize how industrial automation is approached. | 4 |
| Edge Computing with FPGA Acceleration | Utilizing FPGA for data processing at the edge presents opportunities for enhanced speed and efficiency in various applications. | 5 |
| Uncertainty Tracking in AI Models | Incorporating uncertainty-tracking technology could improve decision-making processes in AI and data-driven systems. | 5 |
| Customization of FPGA Designs | The trend towards customization in FPGA designs allows for tailored solutions in various technological fields. | 4 |
| Compatibility and Integration of Legacy Systems | The challenge of ensuring compatibility between new FPGA technologies and existing legacy systems is a growing concern. | 5 |