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 6205AISM is a cutting-edge system which combines deep learning technology with sensor fusion to provide unparalleled insights into machine health and motion patterns. It utilizes a microphone to capture subtle audio cues indicative of potential faults or anomalies. The product employs a 6-axis accelerometer and gyroscope to track complex motion patterns and vibrations. With using deep learning models to analyze sensor data and predictive maintenance needs. It can provide real time alerts for proactive maintenance.

Product Features

• 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.
• 6-Axis Accelerometer and Gyroscope.
• Microphone.
• 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.