3Dsignals is using ultrasonic sensors and deep learning technology to find mechanical problems in cars before they happen. Based in Israel, the startup has the potential to revolutionize the automotive industry.
The diagnostic tool is supposed to detect when breakdowns will happen before they actually occur. The deep learning capabilities and wireless ultrasonic sensors create audio technology that can identify when mechanics do not sound normal. The anomalies can suggest patterns of failure, allowing users to react faster. This predictive system will increase efficiency by reducing human error and decreasing the severity of damage.
This technology is a different example of how automation is being used in vehicles. Driverless cars and automated fleets of taxis are also becoming increasingly common.
Breakdown-Preventing Technology
Ultrasonic Sensors & Deep Learning Find Mechanical Problems Early
Trend Themes
1. Predictive Maintenance Technology - 3Dsignals' use of ultrasonic sensors and deep learning creates a predictive system for identifying mechanical problems before they occur.
2. Automation in Vehicles - 3Dsignals' technology showcases how automation is being employed in vehicles beyond driverless cars and automated fleets.
3. Wireless Sensor Technology - 3Dsignals' use of wireless ultrasonic sensors revolutionizes the detection of mechanical problems in cars.
Industry Implications
1. Automotive Industry - 3Dsignals' breakthrough technology has the potential to revolutionize the automotive industry by preventing breakdowns and increasing efficiency.
2. Predictive Maintenance Industry - 3Dsignals' predictive system for detecting mechanical problems early creates disruptive innovation opportunities within the predictive maintenance industry.
3. Wireless Technology Industry - 3Dsignals' use of wireless ultrasonic sensors presents disruptive innovation opportunities within the wireless technology industry for improved detection systems.