IoT Technologies &
The work of DCPL TECH
Some of our work in IoT technologies
Our work in Agriculture Sector
- Automated Green House with the help of IoT
- Pest Control
- Automatic Irrigation
- Crop harvesting, storage & processing
- Livestock monitoring
- Transport and special machinery monitoring and control
Our work in smartband
- Step counter and approximate distance covered
- Calorie consumption
- Sleep recorder (duration and quantity)
- Self-defined fitness plan and a comparison with actual activity
Our work in Automotive Sector
- Fleet management
- Connected Vehicles through V2X
- Automotive Maintenance System
- Autonomous Vehicle
- In-Vehicle Infotainment and Telematics
How IoT works?
RFID
To identify and track data of things
Sensor
To collect and process the data to detect the changes in the physical status of things
Smart Tech
To enhance the power of the network by developing processing capabilities to different part of the network
Nano Tech
To make the smaller and smaller things have the capability to connect and interact
IoT reshaping agricultural sector
Agriculture is one of the most important sectors of the economy, and the efficient use of opportunities provided by technological advancements has always been the foundation for sustainable growth and development of this industry.
Product quality, higher crop yields, resource conservation, and cost control are but a few ways that the Internet of Things promises to transform in the agriculture industry and food production in the nearest future.
How IoT helps in reshaping the agricultural sector?
Our work in automated green house
A smart greenhouse is a fully automated construction designed to facilitate the process of growing crops and minimize manual labor. The facility like this includes IoT microcontrollers, sensors, and apps.
To control the environment in an intelligent greenhouse, various sensors are used to measure environmental parameters and automatically control operating mechanisms like turning on fans, adjusting the flow of light, controlling heating, etc. Using WiFi, these parameters can also be managed remotely.
We are experts in using IoT technology in developing your greenhouse which not only monitors intelligently but also controls the climate suited for your crop, thereby eliminating the need of human intervention. Different sensors that measures the environmental parameters according to the plant requirement are used for controlling the environment in a smart greenhouse such as 1) Soil moisture sensor, 2) Light Sensor and 3) Humidity Sensor.
Our IoT work with smartband
We regularly measure aspects of our daily lives because we feel we have to, because it is Human nature to want to stay safe. We typically set our goals for certain points in time and regularly check how well or badly we are performing. How much you walked or how much you slept or how much lost your calorie throughout the day, we are expert in capturing your data and analyzing them through reports. We have expertized in developing customized applications for the smartbands.
Features:
Main features:
More features:
What data is collected?
Required:
Optional:
Collecting and processing the information in smartband
The data acquisition and processing is done in a chain comprising the smartband itself, a smartphone (usually Android or iOS based) or computer (running on Windows or OSX), the corresponding application to process the data and the vendor’s cloud service to provide deeper insights and store historical data. In order to synchronize the individual components the system uses Bluetooth and the Internet (via 3G/4G, Wi-Fi or wired connection
The continuous synchronization between the tracking device and mobile phone requires a steady Bluetooth connection. This can have a considerable impact on the battery time of the phone. However the tracker is able to store data without synchronization for anywhere between two and 30 days, depending on the device and the amount of information recorded.
Our work in fleet management
The implementation of IoT in automotive sector has brought in a huge development in the field of fleet management. Trucks nowadays are integrated with weight measurement, location tracking, and several other sensors.
We gather large volume of sensory data from the large fleet and store them in cloud. This data is then processed through different analytics features and conceptualized into a visual format. A fleet operator can easily go through this information to monitor different parameters associated with its fleet.