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 $50 USD / heure
Drapeau de INDIA
pune, india
$50 USD / heure
Il est actuellement 8:14 AM ici
Membre depuis le août 13, 2019
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Iobot T.

@IobotTech

 5,0 (1 commentaire)
1,3
1,3
$50 USD / heure
Drapeau de INDIA
pune, india
$50 USD / heure
100 %
Travaux complétés
100 %
Suivant le budget
100 %
Dans les temps
N/A
Taux de réembauche

IOT hardware, cloud, web app, mobile app

Iobot, one of Top IoT Solution Providers in India Services:- 1.Hardware Design & Development:- IoT Sensor nodes, Gateways, M2M Hardware, SOM. WiFi, BLE, LORA, 6LOPAN based hardware and firmware development. ESP32, 8266, NRF51/52, AVR, STM32F, SIMCOM, QUECTEL, ublock GPS/GSM/LTE hardware and firmware. MQTT, TCP/IP, HTTP, UART,SPI,I2S,I2C,Modbus,PID,FFT,DFT and other Edge processing algorithms. 2.Product Development:- Product research, analysis, benchmarking , POCs, Prototyping to End Product development [login to view URL] Technologies:- Scalable, Secure, Robust Cloud-based Microservices, Cross Platforms Applications, AWS, GCP, Azure, DynamoDB, SQL, Redis, Lambda, AWS S3, Native Android applications, IoT platforms.
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Éléments du portfolio

Hardware 1) GSM based IoT device development that will measure the TDS, DO , PH, Temperature of the fish farm 2) The device have RS485 port that will share the sensor data and signals to the PLC for starting the filtration system based on the sensor values 3) The device communicate the data to the AWS IOT for visualization and data logging Software: 1) Implementation of the backend is server less purely on the AWS IoT 2) The AWS IoT SDK is implemented in the device as well as in the mobile app 3) AWS IoT Core, Lambda, S3, AWS mongo DB and other AWS services were used for project implementation
Water quality management (Ph, TDS, Temperature, DO)
Hardware 1) GSM based IoT device development that will measure the TDS, DO , PH, Temperature of the fish farm 2) The device have RS485 port that will share the sensor data and signals to the PLC for starting the filtration system based on the sensor values 3) The device communicate the data to the AWS IOT for visualization and data logging Software: 1) Implementation of the backend is server less purely on the AWS IoT 2) The AWS IoT SDK is implemented in the device as well as in the mobile app 3) AWS IoT Core, Lambda, S3, AWS mongo DB and other AWS services were used for project implementation
Water quality management (Ph, TDS, Temperature, DO)
Hardware Development 1) Developed IoT hardware that have a) 48 Valve Controls b) 32 AI signals for sensors c) 16 AO signals for analog valve control d) 32 DI for valve switch sensing e) Ethernet, WIFI, GSM communication 2) This hardware controls watering and fertilizing system of big farm 3) schedules , battery backup, power sense and many feature implemented Software development 1) Mobile app development for user to set the schedules for watering and fertilizing farm 2) Cloud backend for data storage and handing device communications • Watering, fertiliser’s dose, can be scheduled for different sections of the large farm • Real time information of the water flow, fertilizers status, electricity supply made available on the mobile app. • Results in increase in crop yield, reduced damaged due to irregular supply of the fertilizers and water
IoT based agriculture monitoring and control system
Hardware Development 1) Developed IoT hardware that have a) 48 Valve Controls b) 32 AI signals for sensors c) 16 AO signals for analog valve control d) 32 DI for valve switch sensing e) Ethernet, WIFI, GSM communication 2) This hardware controls watering and fertilizing system of big farm 3) schedules , battery backup, power sense and many feature implemented Software development 1) Mobile app development for user to set the schedules for watering and fertilizing farm 2) Cloud backend for data storage and handing device communications • Watering, fertiliser’s dose, can be scheduled for different sections of the large farm • Real time information of the water flow, fertilizers status, electricity supply made available on the mobile app. • Results in increase in crop yield, reduced damaged due to irregular supply of the fertilizers and water
IoT based agriculture monitoring and control system
Hardware Development 1) Developed IoT hardware that have a) 48 Valve Controls b) 32 AI signals for sensors c) 16 AO signals for analog valve control d) 32 DI for valve switch sensing e) Ethernet, WIFI, GSM communication 2) This hardware controls watering and fertilizing system of big farm 3) schedules , battery backup, power sense and many feature implemented Software development 1) Mobile app development for user to set the schedules for watering and fertilizing farm 2) Cloud backend for data storage and handing device communications • Watering, fertiliser’s dose, can be scheduled for different sections of the large farm • Real time information of the water flow, fertilizers status, electricity supply made available on the mobile app. • Results in increase in crop yield, reduced damaged due to irregular supply of the fertilizers and water
IoT based agriculture monitoring and control system
Hardware Development 1) Developed IoT hardware that have a) 48 Valve Controls b) 32 AI signals for sensors c) 16 AO signals for analog valve control d) 32 DI for valve switch sensing e) Ethernet, WIFI, GSM communication 2) This hardware controls watering and fertilizing system of big farm 3) schedules , battery backup, power sense and many feature implemented Software development 1) Mobile app development for user to set the schedules for watering and fertilizing farm 2) Cloud backend for data storage and handing device communications • Watering, fertiliser’s dose, can be scheduled for different sections of the large farm • Real time information of the water flow, fertilizers status, electricity supply made available on the mobile app. • Results in increase in crop yield, reduced damaged due to irregular supply of the fertilizers and water
IoT based agriculture monitoring and control system
Hardware Development 1) Developed IoT hardware that have a) 48 Valve Controls b) 32 AI signals for sensors c) 16 AO signals for analog valve control d) 32 DI for valve switch sensing e) Ethernet, WIFI, GSM communication 2) This hardware controls watering and fertilizing system of big farm 3) schedules , battery backup, power sense and many feature implemented Software development 1) Mobile app development for user to set the schedules for watering and fertilizing farm 2) Cloud backend for data storage and handing device communications • Watering, fertiliser’s dose, can be scheduled for different sections of the large farm • Real time information of the water flow, fertilizers status, electricity supply made available on the mobile app. • Results in increase in crop yield, reduced damaged due to irregular supply of the fertilizers and water
IoT based agriculture monitoring and control system
Hardware Development 1) Developed IoT hardware that have a) 48 Valve Controls b) 32 AI signals for sensors c) 16 AO signals for analog valve control d) 32 DI for valve switch sensing e) Ethernet, WIFI, GSM communication 2) This hardware controls watering and fertilizing system of big farm 3) schedules , battery backup, power sense and many feature implemented Software development 1) Mobile app development for user to set the schedules for watering and fertilizing farm 2) Cloud backend for data storage and handing device communications • Watering, fertiliser’s dose, can be scheduled for different sections of the large farm • Real time information of the water flow, fertilizers status, electricity supply made available on the mobile app. • Results in increase in crop yield, reduced damaged due to irregular supply of the fertilizers and water
IoT based agriculture monitoring and control system
Hardware: 1) Development of Google and amazon Alexa certified devices for smart home automation 2) 17 smart switches, plugs of different configurations( 1 load, 2 load, 4 load, 8 load etc) 3) Smart Dimmers for FAN 4) RGB smart bulb Firmware development 1) WIFI and control firmware for all the devices 2) RGB color mixing and device communication Cloud and mobile app 1) Cloud for amazon and google home skill creation and request handling 2) mobile app for consumer for device control and configuration 3) one touch configuration for all the devices
Alexa, Google home Controlled Smart Home devices development
Hardware: 1) Development of Google and amazon Alexa certified devices for smart home automation 2) 17 smart switches, plugs of different configurations( 1 load, 2 load, 4 load, 8 load etc) 3) Smart Dimmers for FAN 4) RGB smart bulb Firmware development 1) WIFI and control firmware for all the devices 2) RGB color mixing and device communication Cloud and mobile app 1) Cloud for amazon and google home skill creation and request handling 2) mobile app for consumer for device control and configuration 3) one touch configuration for all the devices
Alexa, Google home Controlled Smart Home devices development
Hardware: 1) Development of Google and amazon Alexa certified devices for smart home automation 2) 17 smart switches, plugs of different configurations( 1 load, 2 load, 4 load, 8 load etc) 3) Smart Dimmers for FAN 4) RGB smart bulb Firmware development 1) WIFI and control firmware for all the devices 2) RGB color mixing and device communication Cloud and mobile app 1) Cloud for amazon and google home skill creation and request handling 2) mobile app for consumer for device control and configuration 3) one touch configuration for all the devices
Alexa, Google home Controlled Smart Home devices development
Hardware: 1) Development of Google and amazon Alexa certified devices for smart home automation 2) 17 smart switches, plugs of different configurations( 1 load, 2 load, 4 load, 8 load etc) 3) Smart Dimmers for FAN 4) RGB smart bulb Firmware development 1) WIFI and control firmware for all the devices 2) RGB color mixing and device communication Cloud and mobile app 1) Cloud for amazon and google home skill creation and request handling 2) mobile app for consumer for device control and configuration 3) one touch configuration for all the devices
Alexa, Google home Controlled Smart Home devices development
Hardware: 1) Development of Google and amazon Alexa certified devices for smart home automation 2) 17 smart switches, plugs of different configurations( 1 load, 2 load, 4 load, 8 load etc) 3) Smart Dimmers for FAN 4) RGB smart bulb Firmware development 1) WIFI and control firmware for all the devices 2) RGB color mixing and device communication Cloud and mobile app 1) Cloud for amazon and google home skill creation and request handling 2) mobile app for consumer for device control and configuration 3) one touch configuration for all the devices
Alexa, Google home Controlled Smart Home devices development
Hardware: 1) Development of Google and amazon Alexa certified devices for smart home automation 2) 17 smart switches, plugs of different configurations( 1 load, 2 load, 4 load, 8 load etc) 3) Smart Dimmers for FAN 4) RGB smart bulb Firmware development 1) WIFI and control firmware for all the devices 2) RGB color mixing and device communication Cloud and mobile app 1) Cloud for amazon and google home skill creation and request handling 2) mobile app for consumer for device control and configuration 3) one touch configuration for all the devices
Alexa, Google home Controlled Smart Home devices development
Hardware: 1) Development of Google and amazon Alexa certified devices for smart home automation 2) 17 smart switches, plugs of different configurations( 1 load, 2 load, 4 load, 8 load etc) 3) Smart Dimmers for FAN 4) RGB smart bulb Firmware development 1) WIFI and control firmware for all the devices 2) RGB color mixing and device communication Cloud and mobile app 1) Cloud for amazon and google home skill creation and request handling 2) mobile app for consumer for device control and configuration 3) one touch configuration for all the devices
Alexa, Google home Controlled Smart Home devices development
Hardware: 1) Development of Google and amazon Alexa certified devices for smart home automation 2) 17 smart switches, plugs of different configurations( 1 load, 2 load, 4 load, 8 load etc) 3) Smart Dimmers for FAN 4) RGB smart bulb Firmware development 1) WIFI and control firmware for all the devices 2) RGB color mixing and device communication Cloud and mobile app 1) Cloud for amazon and google home skill creation and request handling 2) mobile app for consumer for device control and configuration 3) one touch configuration for all the devices
Alexa, Google home Controlled Smart Home devices development
Project objective was to develop the IoT wearable that can read the UHF( Ultra high frequency RFID tags) from the warehouse and update the inventory Hardware: 1) Compact, wearable development (circuit, PCB with 968Mhz Antenna) 2) Battery power should be 8 hour on single charge 3) 60000 tags per charge capacity 4) Communicate data to mobile phone via BLE 4.2 5) Haptik feedback on tag sensing 6) Watch display OLED type 7) Watch display Epaper type 8) Micro USB charging Mobile app: 1) Get the data from the device and log it locally with SQlite 2) BLE gatt server and data handling 3) send data to cloud via MQTT Cloud: 1) Data storage and visualization 2) Third party integration with ERP systems
UHF based wearable wrist watch for warehouse inventory updat
Project objective was to develop the IoT wearable that can read the UHF( Ultra high frequency RFID tags) from the warehouse and update the inventory Hardware: 1) Compact, wearable development (circuit, PCB with 968Mhz Antenna) 2) Battery power should be 8 hour on single charge 3) 60000 tags per charge capacity 4) Communicate data to mobile phone via BLE 4.2 5) Haptik feedback on tag sensing 6) Watch display OLED type 7) Watch display Epaper type 8) Micro USB charging Mobile app: 1) Get the data from the device and log it locally with SQlite 2) BLE gatt server and data handling 3) send data to cloud via MQTT Cloud: 1) Data storage and visualization 2) Third party integration with ERP systems
UHF based wearable wrist watch for warehouse inventory updat
Project objective was to develop the IoT wearable that can read the UHF( Ultra high frequency RFID tags) from the warehouse and update the inventory Hardware: 1) Compact, wearable development (circuit, PCB with 968Mhz Antenna) 2) Battery power should be 8 hour on single charge 3) 60000 tags per charge capacity 4) Communicate data to mobile phone via BLE 4.2 5) Haptik feedback on tag sensing 6) Watch display OLED type 7) Watch display Epaper type 8) Micro USB charging Mobile app: 1) Get the data from the device and log it locally with SQlite 2) BLE gatt server and data handling 3) send data to cloud via MQTT Cloud: 1) Data storage and visualization 2) Third party integration with ERP systems
UHF based wearable wrist watch for warehouse inventory updat
Project objective was to develop the IoT wearable that can read the UHF( Ultra high frequency RFID tags) from the warehouse and update the inventory Hardware: 1) Compact, wearable development (circuit, PCB with 968Mhz Antenna) 2) Battery power should be 8 hour on single charge 3) 60000 tags per charge capacity 4) Communicate data to mobile phone via BLE 4.2 5) Haptik feedback on tag sensing 6) Watch display OLED type 7) Watch display Epaper type 8) Micro USB charging Mobile app: 1) Get the data from the device and log it locally with SQlite 2) BLE gatt server and data handling 3) send data to cloud via MQTT Cloud: 1) Data storage and visualization 2) Third party integration with ERP systems
UHF based wearable wrist watch for warehouse inventory updat
Project Consist of IoT product development for health monitoring of the industrial equipment using vibration and acoustic analysis Hardware Development: 1) hardware development that measures axial vibrations, velocities, displacement and acceleration using IMU and mic sensor 2) Hardware can perform the on board FFT analysis of the axial data 3) Hardware can share the info to the cloud and mobile app via WIFI 4) One touch device configuration Mobile App development: 1) Mobile app gather the data from the device via protobuf. 2) Display the data on the UI with graphs ( FFT as well as raw data) 3) Share the data to the cloud via MQTT for further analysis 4) mobile app support smart 1 touch device configuration via WIFI Cloud backend 1) Scalable AWS based back-end for data storage 2) Dynamo DB based architecture 3) MQTT broker for data handling 4) Data warehousing on the S3 for data analytics 5) conditional monitoring via lambda 6) fire-base notification handling
IoT based Predictive maintenance for industrial equipment
Project Consist of IoT product development for health monitoring of the industrial equipment using vibration and acoustic analysis Hardware Development: 1) hardware development that measures axial vibrations, velocities, displacement and acceleration using IMU and mic sensor 2) Hardware can perform the on board FFT analysis of the axial data 3) Hardware can share the info to the cloud and mobile app via WIFI 4) One touch device configuration Mobile App development: 1) Mobile app gather the data from the device via protobuf. 2) Display the data on the UI with graphs ( FFT as well as raw data) 3) Share the data to the cloud via MQTT for further analysis 4) mobile app support smart 1 touch device configuration via WIFI Cloud backend 1) Scalable AWS based back-end for data storage 2) Dynamo DB based architecture 3) MQTT broker for data handling 4) Data warehousing on the S3 for data analytics 5) conditional monitoring via lambda 6) fire-base notification handling
IoT based Predictive maintenance for industrial equipment
Project Consist of IoT product development for health monitoring of the industrial equipment using vibration and acoustic analysis Hardware Development: 1) hardware development that measures axial vibrations, velocities, displacement and acceleration using IMU and mic sensor 2) Hardware can perform the on board FFT analysis of the axial data 3) Hardware can share the info to the cloud and mobile app via WIFI 4) One touch device configuration Mobile App development: 1) Mobile app gather the data from the device via protobuf. 2) Display the data on the UI with graphs ( FFT as well as raw data) 3) Share the data to the cloud via MQTT for further analysis 4) mobile app support smart 1 touch device configuration via WIFI Cloud backend 1) Scalable AWS based back-end for data storage 2) Dynamo DB based architecture 3) MQTT broker for data handling 4) Data warehousing on the S3 for data analytics 5) conditional monitoring via lambda 6) fire-base notification handling
IoT based Predictive maintenance for industrial equipment

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$45,00 USD
Fix nodemcu webserver
106/5000 Excellent professional, understood my problem easily, met the deadline and helped a lot. I recommend.
Arduino
R
Drapeau de Roberto B. @robertobastosbah
•
il y a 3 ans

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