Internet of Things and Artificial Intelligence in One Point
“Things” such as refrigerators, vehicles, cameras and other equipment can be accessed online When they connect, process the data they collect and share it with other devices, you have the internet of things. Artificial intelligence, on the other hand, learns this data from the very basics, just like a child learning to read, and develops it just like an individual specific to your object. Therefore, when artificial intelligence is added to the Internet of Things, these devices now analyze data, make and implement decisions without human intervention.
These devices are now “smart” and their sole purpose is to increase efficiency and effectiveness. The resulting intelligence, or trained model, is then used to optimize a system and create higher performance and decision-making mechanisms.
Fleet Management and Autonomous Vehicles
Uptecra in fleet management Artificial Intelligence and Tracking Devices are actively used. Monitoring fleet vehicles, managing battery performance in electric vehicles or reduce fuel costs, monitor vehicle maintenance and identify unsafe driver behavior Allows. Thanks to Uptecra IoT devices and artificial intelligence system, such as GPS and other sensors, companies can better manage their fleets.
Another area where Artificial Intelligence is used today is in the processing of data received from autopilot systems that use radars, sonars, GPS and cameras in Tesla and autonomous vehicles for safe driving.
What is AI Cloud?
Cloud AI Platform produces results by analyzing the data received from external sources within the scope of artificial intelligence models. The results are taken further with each data taken and analyzed. It ensures that the operation is carried out without the need for human intervention by taking initiative in the decision mechanisms.
Data Channels
Data flows from the external environment can be from different visual or digital sources.
- CCTV, USB camera or Web Camera Input: It allows real-time analysis of one or more digital cameras.
- Video File Input: You can use it to analyze video files consisting of a camera's image stream.
- Multiple Camera Input: Multi-stream processing is performed in real time with parallel computing by capturing video from multiple cameras (IP cameras, webcams/USB cameras) in a single application.
- Sensor Data Input: All data such as Temperature, GPS, Acceleration, Speed etc. from your existing devices are used to feed the system simultaneously.
AI Models
Direct or recorded data are included in artificial intelligence models appropriate to the field for the required outputs.
For example, different behaviors of people using the vehicle are detected from the constantly received data specific to a vehicle. Vehicle and model-specific fuel consumption behaviors are determined by blending the vehicle's behavior such as fuel consumption and wear against use with the data of other vehicles of the same model. Predictions are made regarding the possible future fuel consumption behavior of the vehicle.
Decision Making
Need-specific results are transformed into action through a decision. This action can be a direct report or, for example, an automatic ban of a vehicle for a specific person.