The field of Artificial Intelligence (AI) has witnessed tremendous growth in recent years with the advent of Deep Neural Networks (DNNs) that surpass humans in a variety of cognitive tasks. The algorithmic superiority of DNNs comes at extremely high computation and memory costs that pose significant challenges to the hardware platforms executing them.
This limitation has led to the development of specialized hardware and software solutions designed to overcome these constraints, enabling AI applications in resource-constrained environments.
Scientech 6205AIN is a cutting-edge system that leverages the power of deep learning for smell detection applications. This innovative platform combines the versatility of WIO Terminal with the computational prowess of Raspberry Pi, creating a powerful edge computing solution for AI-driven olfactory analysis.
• Platform to learn, explore, and develop AI – IoT skills.
• Color LCD display.
• Linux operating system.
• Command line interface.
• Working of TinyML on microchip.
• Data Collection for model training.
• Process of model training.
• Creating a library of model.
• Artificial Nose equipped with a multichannel gas sensor.
• Arduino software compatible hardware.
• Wi-Fi connectivity for cloud interface.
• 2 din sockets for sensor interface.
• Ethernet connectivity for internet access.
• Server and Client Pipeline.
• Working of Local ports.
• Compact tabletop ergonomic design.
• Ready experimental details.
• User friendly, self-explanatory system.
94, Electronic Complex, Pardesipura, Indore-452010, Madhya Pradesh, India.
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