NXP Giveaway: Evaluation Kit for NXP’s i.MX 8M Nano Applications Processors

We try to implement the Internet of Things (IoT) technology that is capable of monitoring every day on the desired chili plant. The duration of monitoring can be set in such a way as well as the data from monitoring results are also directly connected and actually recorded on a laptop / pc. So we hope this IoT technology can update chili farmers’ information about the condition of their chili plants, and be able to provide early warning to farmers to immediately prevent the growth and development of pests and diseases.
this project explains how to analyze data from the soil moisture levels. there is 2 sensor to measure soil parameter (soil humidity and soil temperature).

Multilingual speech recognition system to control elevator.

Multilingual speech recognition system to control elevators.

We want to implement CCTV and Audio streaming on ethernet and transmit over USB for 4 houses.
First is to implement Audio streaming using a good DAC and later to use for Security application.

We wish to develop a wearable health care system to non-invasively monitor the Blood Glucose level.  Nearly 37 parameters need to be extracted from ppg signal and put to use machine learning algorithms to predict the blood glucose level. It entails Machine learning algorithms to be embedded in the processor. For remote healthcare we plan to connect this edge device to Internet.

This kit would be perfect to work on my MS Degree Thesis, I have to realize a net of sensors to evaluate a bridge stability

I would love to use it for home control systems, absolutely

interests are in Aviation, and auto systems

Multi-interface tester for actuators with touch screen

I want to use this board the development of a web-based software that uses Artificial Intelligence for providing fast,  highly accurate,  multiphase energy and power quality monitoring device.

I have been looking for a suitable platform for creating a smart home for a very long time. Most of them, unfortunately, have a fairly high power consumption, which makes it difficult to use them with autonomous power supply. The module has all the necessary interfaces, which allows you to connect all the necessary sensors and execution devices. I am thinking of raising a WEB server on it, to which you can connect via Wi-Fi, the IR remote control can control the multimedia functions of the device (multi-room system).

I am involved in a MakerSpace and want to use this to acquaint members and students with the capabilities of integrating various aspects of audiovisual implementations.

I would test tensorflow lite on it

Develop a camera to detect rodents in my garden.  Identify rodent, then point a low-power laser at it to chase them away.  Lost all my carrots and lettuce this past summer.

We will be using this Evaluation Board with Ethernet connections for monitoring multi-level sensors to calculate different potential outcomes, in custom security situations.

I have never won a thing in 25 years at 72 years old I don’t thing my luck is going to change. Regards Roger.

I would realy like to use this board

I am currently working on a project where I am building large scale patient monitoring using AI. We have ECG , SPO2 , temperature sensors that are mounted on our custom designed wearable. The data from the wearable is sent to a data aggregator that sends the data to cloud. The aggregator receives data via Bluetooth and sends the data via HTTP. All the communication is SHA1 encrypted.  This data is run through various models on cloud. Then the inference is displayed on a dashboard. Most of this project is still private but there is one module I made public recently which is the cardiac abnormality detection. PFA the link to the project. This kit will really help me complete the project on 1 single kit as it has all the necessary components.

https://devmesh.intel.com/projects/heart-disease-detection-using-machine-learning

i like to use this kit for final year project (iot based biomedical application)

I would like to implement a system which contain neural interface and machine learning code to control our home preferences like turning on tv and watch our favorite shows and serials without touching remote control,playing our favourite music throughout music system,adjust ambient lighting,temperature,etc by just a blink of our thought and mood.this system can also used on outdoors for gardening like controlling and automating irrigation,getting info about soil conditions,weather,etc.

Using this NXP’s i.MX 8M Nano EV kit I would like to run my machine learning code and connect different sensors to the board with its different set of io pins and expansions.
And with its quad core processor it will be very much efficient and faster in sorting out emotion recognition data and neural interface data and which leads to build a efficient system.
Main goal of this system to assist user in whatever ways possible to analyze,improve,automate their lifestyle.
Planning to build and present it for my final year college project and hope to implement it in my home

hope that can be use in EV vehicle system management. need CAN bus support also

We are working on smart IoT home management systems. I think this kit will provide the breakthrough in our project. So we badly need one…Thank you

I would like to get information about my home to my workplace. I would like to get outside temperature, barometer, humidity, snow height, moving persons, animals, wind speed, wind direction. inside temperature, kitchen temperature, garage temperature, outside light, inside light, car position. doors open or close, how many persons are home. All to internet. Everything in 1 minute. Well, I already have almost all.

Create an IoT Remote monitoring and surveillance system using MQTT.

Kit is suitable for Home monitoring of elderly.

This board is quite right candidate for building a voice based smart home automation device such as Alexa or Google home. The board has right amount of processing power and the memory.

wireless gateway for n/w security analysis with deep packet inspection & MITM (using mitmproxy)

I am working on building autonomous navigation system with an interactive graphics HMI. The project includes sensor fusion and machine learning algorithms. This kit has the required computing power and necessary peripherals to implement the design!

I want to experiment with the young researchers with children.
And use with existing microprocessors.

Would make for a nice pinball controller

Lab instrument communications IoT

I am working on a note recognition for stringed instruments (length, frequency, timbre, dynamic, harmonic, sharpness/softness, string and position. There are promising breakthroughs in omnidirectional sound pickup, as phase shift, reflection and time delay appear to be yielding significant improvement in identification of the note. However, the algorithm still uses massive amounts of computing resources.

Check out ethernet at all speeds, memory access in various conditions and power supply performance at different temperatures.

The use of Auditory Evoked Potentials (AEP) is a non-invasive method to measure hearing in infants. It is also useful in hearing assessments in non-verbal animals (dolphins, whales ect.) As these animals use sound as the main component of sensory input for navigation, communication and feeding it is a crucial factor in the survival of the animal.  Animal stranding usually results in the death of these animals and is caused by yet an unknown phenomenon.  The longer an animal remain stranded on the beach the higher its stress level and stress is the leading factor for death in these animals. Determining the animal’s hearing is the main factor for rescuers to determine the stranded animal’s dispositions as to the immediate return to the wild or if it requires further assistance in a rehabilitation facility. The faster this determination is made the lower the stress level for the animal.
Using special external electrodes imbedded in suction cups and applied the skin of the stranded animal and placing a calibrated sound source required to generate the AEP next to the beached animal the faster the AEP can be measured and stress reduced. Attending rescuers (who are officially permitted) to handle and make the determination of the animal disposition need to do this as quickly as possible.
We have developed a system to measure AEP’s in stranded animals. However the system requires wired connections to the electrons placed on the animal and the measuring laptop computer. These wires present a serious safety issue to both the stranded animal and the rescuer if the animal starts to struggle and becomes entangled. With entanglement both the animal and the measurement are compromised.  Using the Internet of Things (IoT) technology this measurement can eliminating the entanglement danger to the animal and the operator.  The attached electrodes would use Bluetooth to deliver the AEP data to the laptop measurement system and can also remotely control the delivery of tonal stimuli necessary to generate AEP. 

UAV security system, active tracking, integration with Jetson for weapon identification, upload facial data to secure cloud for background data, various other usage’s

Great !!!!!!!!!!!

Implemented a Novel Gas Sensor for Measuring Pollution -IOT based RT data on cloud

Looking forward to working with this board

The beast in small form factor. Ready to give it a try.

neural signal processing for ADAS application

Will use this kit to develop a smart IoT Gateway which is affordable for home, industrial or farming usage

Where do we see the winners of giveaways?