Data Enhancement


Vehicle In- Cabin Monitoring means interior monitoring. It enhances safety, comfort, and convenience for all vehicle occupants. The system is able to detect many important things like 

  • Driver distraction
  • Signs of drowsiness
  • Whether a child has been left behind in the vehicle 
  • It Alerts the driver to critical situations

Use: Safety

One of the most important New Vehicle In-Cabin Monitoring technology use is safety and We know one of the most dangerous aspects of any vehicle remains the driver and, more specifically, their lack of attention and poor decision-making while driving. So to increase safety cameras and vision systems are now being added internally to monitor the driver and, increasingly, the other occupants as well.

In fact, these Driver Monitoring Cameras (DMC) are considered to be so significant to road safety, Through discreetly aiming a camera at the driver and adding advanced image processing software, the accurate ADAS system can determine many important things that will contribute to road safety. DMC-equipped ADAS systems can tell if the driver is looking at the road ahead, or trying to read a message on their phone and not focusing on driving. It can detect if the driver has been taken seriously ill and become incapacitated and more advanced systems are able to deduce the emotional state of the driver using facial expressions as cues. 

In the event that an accident should happen, the same camera can detect the size, weight and position of the driver and adjust the airbag deployment accordingly, reducing the risk of serious injuries.  

Also with OMC ie. Occupant Monitoring Cameras ADAS systems are able to determine if children or pets are present and whether seatbelts are being used.  One such future mandate is the detection of the presence of children in the vehicle, specifically, children left alone unattended. So OMC helps in urgent situations accurately. 

ADAS Annotation for Driver Monitoring

Drivers getting distracted, feeling tired, or drowsy can be now detected through the ADAS driving monitoring system to measure the indication of drivers mental workload, his behavior, and the environment around the vehicle. Learning spiral offers ADAS systems annotation via frames will help ADAS to track the driver’s face, behavior and his body movement for safety purposes. 

These systems are designed with the basic aim of improving road safety and are steps on the path to the fully autonomous vehicles of the future. We specialize in various Data annotation and Data labeling services for various industries, especially autonomous vehicles supporting all the key in-cabin monitoring features for security purposes.

About the Organization

We offer qualitative Data annotation & Data Labeling services including Image annotation for machine learning and AI-based computer vision object recognition in various industries for accurate results. Our ISO 27000 certified facilities are equipped to handle the most secure data, and our training data expertise helps reduce ramp time and increase quality.

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