Caruma Technologies has introduced a new technology offering that combines computer vision, deep learning and big data analytics into a vision-based connected car platform to curtail distracted driving.
The company plans to bring advanced technology used in autonomous cars to any vehicle to make driving safer, more efficient and more secure.
"Tragically, nearly 1.3 million people around the world are killed in traffic collisions every year, with another 50 million injured or disabled," said Chris Carson, founder and CEO. "Our goal is to make today's roads safer by empowering drivers with advanced safety systems like Advanced Driver Assistance System (ADAS) and Driver Monitoring System (DMS) and the insights they gain from the data these systems produce."
Caruma's vision-based connected car platform consists of three key components:
- Caruma Cloud: a smart cloud system where video and data are stored and converted into actionable information.
- Caruma App: a mobile and web app for iOS and Android.
- Caruma Cam: an intelligent connected device with dual High Definition (HD) cameras that easily mounts inside any vehicle.
When these high-risk driving events or collisions are detected, the Caruma Cam automatically records a short video of the event. The video and data are then sent to Caruma's private cloud where it is analyzed and processed.
Caruma's system uses a combination of artificial intelligence and vision technology — advanced machine learning algorithms — to continuously improve over time. With a complete, context-rich picture, the system can help to improve driver performance and reduce liability risk through driver scoring, a critical tool for coaching purposes and improving driving practices.
The technology's key features include:
- Collision Avoidance: Forward- and inward-facing HD video cameras sense and alert drivers in real-time to external dangers to help avoid costly and sometimes fatal collisions; allows corrective action to be taken.
- Distracted Driver/Fatigue Detection: Senses and alerts drivers in real-time to internal risks by monitoring subtle details about the driver to detect fatigue, attentiveness and driver distraction.
- Live Map: Real-time community-based warnings of road hazards automatically detected by other Caruma-equipped vehicles on our network.
- Theft Detection & Prevention: Caruma uses proximity sensors, geo-fencing and real-time tracking to monitor a vehicle's security. Live View and two-way talking allows instant viewing inside and outside the vehicle and two-way audio.
Since the physics associated with a collision are recorded in minute detail to establish fault unequivocally and resolve disputes more efficiently and correctly, the data derived from Caruma's system will have a direct impact on determining risk, error and fault to make insurance reporting faster and more efficient. This will streamline claims processes and improve efficiencies resulting in lower costs, a key benefit for insurance companies, fleet operators and professional drivers.
For fleet applications Caruma technology can reduce operating costs, improve driver safety and increase safety policy compliance. Video and data sent to Caruma Cloud provides fleet managers with a complete, context-rich picture that can help to improve driver behavior and increase safety.
Caruma's system uses advanced machine learning algorithms to continuously improve its ability to detect dangers ahead or distraction within a vehicle and gets smarter over time. The company is working with partners to accelerate deployment into vehicle fleets and expand its business as a retrofit device for the millions of vehicles currently on the road and into new production vehicles.
The company recently launched a pilot collecting data sets in three countries around the world to include U.S., China, and Russia. This aggregated data will ultimately be used to advance the fully autonomous driving vehicle industry.
Caruma Cam will be available for pre-order in late December at www.Caruma.Tech at the retail price of $399.
Originally posted on Automotive Fleet
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