The winners will be selected by the judges from VDAT-2024 based on the metrics decided by the VDAT-2024 Design Contest team.
It is expected to involve a hardware/software co-designed solution using either or both of the below family of Micorchip's 32-bit microcontroller units (MCUs).
You will be showcasing design approaches and solutions in the areas/domains of AI/ML, IoT, Industrial Automation, Automotive, Medical, Environment & Clean Energy, etc.
Hardware Platform
The hardware platform will be based on Microchip Technology one of the below
Idea Implementation
Implementation should be using kits provided by Microchip Technology. Experts from the Microchip team will guide and mentor during the time of implementation.
Design an AI-based face detection system using the SAMA5D27 WLSOM1-EK board and a USB camera. The system should be capable of detecting faces in real-time with high accuracy and low latency(less than a second). Participants can choose to use existing open-source face detection models optimized for TensorFlow Lite (TFLite) or create their own lightweight TFLite models specifically tailored for edge devices.
Key Requirements:
The hardware platform will be based on Microchip Technology one of the below
Additional Challenge:
Added value for implementations that meet the following timing criteria:
Hardware Required:
Added value for implementations that meet the following timing criteria:
Excessive screen time is a growing concern linked to increased stress and student attention difficulties. This problem may be particularly relevant in India, where mental health resources are scarce. We propose FocusFlow, a novel wearable device designed to help students (ages 8-19) manage stress and improve focus. FocusFlow uses sensors to monitor physiological data (heart rate, respiration, etc.) and eye movement. Using AI and machine learning, FocusFlow identifies patterns associated with stress and attention lapses.
For Students: Gentle alerts and real-time biofeedback help them become aware of their state and take corrective actions. It will also provide focus prompts during study time and reminders for meditation and breathing exercises for dealing with stress.
For Caregivers: Discreet alerts with relevant data empower parents and educators to provide targeted support. FocusFlow can potentially improve student well-being, learning, and classroom engagement.
The FocusFlow will implement security features to protect the data from tampering and misuse. The device sends the data over a secure wireless medium to a cloud platform for analysis and provides targeted support and therapies.
Hardware Platform
It is expected to involve a hardware / software co-designed solution using Microchip PolarFire® SoC FPGA, making use of hardware acceleration. You will be showcasing design approaches and solutions in the areas / domains of AI/ML, IoT, Factory & Industrial Automation, Automotive, Medical, Environment & Clean Energy, etc.
The hardware platform will be based on Microchip Technology PolarFire® SoC Discovery Kit that hosts a RISC-V based PolarFire® SoC FPGA.
Following the first round of screening, shortlisted teams will convert their ideas into applications / solutions using the PolarFire® SoC Discovery Kit. Hardware kits will be shipped to the selected teams.
Implementation should be on the Microchip Technology PolarFire® SoC Discovery Kit provided. Experts from Microchip team will guide and mentor during the time of implementation.
LoRaWAN IoT Cloud system for moisture management and reporting
The system in design is a soil moisture sensor and irrigation system. Since majority of the farmers are dependent on the rain fed rivers or on the ground water, it is more that important to make efforts to save water. Moisture detectors help farmers monitor soil moisture levels, allowing them to optimize irrigation practices. By providing real-time data on soil moisture, farmers can ensure that crops receive the right amount of water at the right time, minimizing water waste and reducing the risk of overwatering or underwatering. This is also a big step towards environmental sustenance.
The architecture of this system is as follows:
Multiple sensors must be placed in the field, to detect the moisture level of each patch of land. However, as a proof of concept, one sensor can be used to demonstrate the capability of the system. The Moisture Sensor sends the data to the RN2483 Board, sends the data over LoRa radio to the SAMR34 board with Ethernet connectivity. This data is sent over the ethernet to the cloud database with proper timestamp. The application running on the cloud uses this information to control the pump, connected to another RN2843 LoRa node. The application on the cloud also presents data to the user through a web page or mobile phone application. This application facilitates users to configure the preset moisture level to control the pump through the web or mobile phone application.
The SAM R34 Xplained Pro is a hardware platform designed to evaluate the SAM R34 family of LoRa® devices.
This FCC, ISED and RED certified board is not only an evaluation platform but also an excellent reference design for developing SAMR34 based LoRa end-node applications.
This kit is supported by the Atmel Studio, an integrated development platform, which provides predefined application examples. The kit also provides easy access to various features of the ATSAMR34J18B device and offers additional peripherals to extend the features of the board and ease the development of custom designs.
The RN2483 LoRa® Mote is a LoRaWAN™ Class A end-device based on the RN2483 LoRa modem. As a standalone battery-powered node, the Mote provides a convenient platform to quickly demonstrate the long-range capabilities of the modem, as well as to verify inter-operability when connecting to LoRaWAN v1.0 compliant gateways and infrastructure.
The Mote includes light and temperature sensors to generate data, which are transmitted either on a fixed schedule or initiated by a button-press. An LCD display provides feedback on connection status, sensor values and downlink data or acknowledgements. A standard USB interface is provided for connection to a host computer, providing a bridge to the UART interface of the RN2483 modem. As with all Microchip RN family of products, this enables rapid setup and control of the on-board LoRaWAN protocol stack using the high level ASCII command set.
The ENC28J60 Ethernet Module utilizes the new Microchip ENC28J60 Stand-Alone Ethernet Controller IC featuring a host of features to handle most of the network protocol requirements. The board connects directly to most microcontrollers with a standard SPI interface with a transfer speed of up to 20MHz.
Target applications include VoIP, Industrial Automation, Building Automation, Home Control, Security and Instrumentation.
Preferably this one:
https://www.industrybuying.com/temperature-and-humidity-sensors-techdelivers-IND.TEM.120691245/?q=humidity+sensors+&cat=
or
Pick one from the link below:
https://www.industrybuying.com/search/?q=humidity+sensors+&cat=
The TECHDELIVERS Soil Hygrometer Humidity Detection Moisture Sensor, a dynamic duo of sensors that provide crucial environmental data for a wide range of applications. They measure the ambient temperature of the surrounding environment. They use various technologies like thermocouples, thermistors, and integrated circuit temperature sensors to accurately detect temperature changes. This data is vital in industries like HVAC (heating, ventilation, and air conditioning) for regulating indoor climate, in manufacturing processes to ensure specific temperature requirements, and in weather forecasting to monitor atmospheric changes.
With Google Could deployment the data can be accessed from anywhere and the data can be logged on the Server too to further enhance the watering pattern. This data can also be fed into an AI Model (using TensorFlow), to make informed decisions about keeping the farms adequately moist
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