This Safety Camera Uses AI To Make You A Better Driver
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Trimble's Video Intelligence solution supports up to 4 easily configurable cameras that monitor the road and drivers in high resolution. Recording data is processed in real-time using our reliable and powerful artificial intelligence platform, providing drivers feedback on the go. AI also triggers event recordings to enhance your fleet safety program making it easier to reward good driving habits.
Protect your drivers from fatigue and distraction, identify risky driving behaviors, and coach operators on better driving habits. Trimble's artificial intelligence paired with our Cabin Intelligent Monitor recognizes real scenarios and records them for future use and ongoing coaching.
Provide your drivers with a full view of their surroundings and typical blind spots. This small profile, pod-style camera, can be discreetly mounted and easily connected to your Video Intelligence system.
Onesuch way is to arm our nation's many cars with AI. In test after test,artificial intelligence, or AI, has been shown to help people drive safer andsave lives. Both pedestrian detection and automatic emergency braking systems canhelp distracted drivers react quicker and do more to prevent injuries andfatalities, but the slow adoption of these technologies on behalf of the majorautomakers has, rightly or wrongly, shifted the burden onto the consumer.
Asof 2019, onlyhalf of all cars produced between late 2017 and late 2018 includedan AI system such as a dash cam or emergency braking capabilities. Though thissounds like a small win, European and Asian manufacturers lead the industrywith standard AI features in most cars while the major U.S. companies lag farbehind. In general, the more expensive makes and models have some AIcapabilities, and the future of AI in cars has not yet trickled down tocheaper, more economic models.
Hereat Speedir, we're proud to be a pioneering member of the fast-paced,intelligent car industry. From our top of the line infrared imaging solutionsto our state of the art thermal cameras, we believe in the power of technologyto help save lives. From fleet safety devices to advanced automotiveelectronics, we combine hard technology with AI modeling to enhance both fleetsafety and nighttime driving for anyone that's interested, and we do it all whilefollowing state and national laws, unlike some of our competitors. Simply put,we work tirelessly every day to improve driving and driver technology in eachand every car -- because we know that if we can save just one life, it's worthit.
What can we learn from this data There is clearly adisconnection between driver perception and the presence of pedestrians.Admittedly, a significant percentage of these traffic-related accidents were insome way accompanied by driver or pedestrian intoxication. Still, the risk ofhitting a pedestrian, whether it be due to poor driving visibility or suddenmovements and slow reflexes, is one that can be prevented.
Speedir hopes to close the gap between driving perceptionand traffic safety through their AI-equipped thermal cameras. You can readabout our infrared technology separately through our ThermalImaging Platform page here. The key companion is our artificialintelligence (AI) equipped models; thermal cameras paired with AI software thatprovide the most thorough points of perception a driver could need.
Smartnight vision cameras serve as a second set of eyes to monitor roadconditions. When equipped to vehicles, they can aid your driving safety byeffortlessly detecting hard-to-see roadway threats, animals, pedestrians, andother vehicles, in pitch black roadways or through foggy morning commute! AI dash cams have a heightened visual perception thathelp recognize and understand the relevance of an object to the driver. Theyalso assist the driver with taking the necessary precautions i.e., whether theyare to swerve, engage the brakes, or continue accelerating in a particulardirection. Even when there are no road markings, smart night vision dashcams can distinguish a safe route for the driver. They are sointelligently designed that they can differentiate moving objects from staticobjects. Motorcycles, cyclists, pedestrians, and animals that the human eye tends to miss are easilyidentified within the area of the vehicle. Collisionswith humans, animals, and inanimate objects that would otherwise have resultedin a lot of harm and expenses are thereby prevented with a simple installationof an AI night vision dash cam.
AIcameras in vehicles help drivers commute freely, give routes and alternatives,and tell the driver where they should stop per time. The cameras also monitorthe routes that their vehicles are taking and give fleet managers their exactlocation. Drivers are monitored so that they don't have more than thestipulated number of passengers in their vehicles per ride. AI cameras alsomonitor the measure of a truckload. Commuters are carried through the citiesbased on a schedule and route that are already set. Where the camera capturesthe vehicle veering off the expected lane, the intention of the driver ischecked. If for instance, the swerve is a necessary one, there would be noproblem. However, where it is a direct contravention of stipulated routes, thefleet management is immediately alerted and the driver is warned.
Driver-facing cameras meant to reduce bad driver behavior (and reduce insurance rates) are becoming increasingly common in the trucking industry. The most popular company, Lytx, says it has 650,000 cameras in commercial tricks globally, according to tech publication OneZero.
With FleetCam installed in your vehicles, you will never have to guess what drivers are doing on the road. This advanced fleet vehicle camera system offers real-time, in-cab alerts to notify drivers when dangerous or unwanted behaviors are detected, creates event clips for managers to view and use as training tools, and tracks performance with customizable driver scorecards. Drivers can be warned when they are falling asleep, unsafely departing lanes, or following too closely.
A self-driving car (sometimes called an autonomous car or driverless car) is a vehicle that uses a combination of sensors, cameras, radar and artificial intelligence (AI) to travel between destinations without a human operator. To qualify as fully autonomous, a vehicle must be able to navigate without human intervention to a predetermined destination over roads that have not been adapted for its use.
For example, Google's self-driving car project, called Waymo, uses a mix of sensors, lidar (light detection and ranging -- a technology similar to RADAR) and cameras and combines all of the data those systems generate to identify everything around the vehicle and predict what those objects might do next. This happens in fractions of a second. Maturity is important for these systems. The more the system drives, the more data it can incorporate into its deep learning algorithms, enabling it to make more nuanced driving choices.
For example, Google's Waymo partnered with Lyft to offer a fully autonomous commercial ride-sharing service called Waymo One. Riders can hail a self-driving car to bring them to their destination and provide feedback to Waymo. The cars still include a safety driver in case the ADS needs to be overridden. The service is only available in the Metro Phoenix area, San Francisco and most recently Los Angeles as of late 2022 but is looking to expand to more cities.
Autonomous trucks have been tested in the U.S. and Europe to let drivers use autopilot over long distances, freeing the driver to rest or complete tasks and improving driver safety and fuel efficiency. This initiative, called truck platooning, is powered by ACC, collision avoidance systems and vehicle-to-vehicle communications for cooperative ACC.
The downsides of self-driving technology could be that riding in a vehicle without a driver behind the steering wheel may be unnerving -- at least at first. But as self-driving capabilities become commonplace, human drivers may become overly reliant on the autopilot technology and leave their safety in the hands of automation, even when they should act as backup drivers in case of software failures or mechanical issues.
In China, carmakers and regulators are adopting a different strategy to meet standards and make self-driving cars an everyday reality. The Chinese government is beginning to redesign urban landscapes, policy and infrastructure to make the environment more friendly for self-driving cars. This includes writing rules about how humans move around and recruiting mobile network operators to take on a portion of the processing required to give self-driving vehicles the data they need to navigate. \"National Test Roads\" would be implemented. The autocratic nature of the Chinese government makes this possible, which bypasses the litigious democracy that tests are funneled through in America.
The path toward self-driving cars began with incremental automation features for safety and convenience before the year 2000, with cruise control and antilock brakes. After the turn of the millennium, advanced safety features, including electronic stability control, blind-spot detection, and collision and lane shift warnings, became available in vehicles. Between 2010 and 2016, advanced driver assistance capabilities, such as rearview video cameras, automatic emergency brakes and lane-centering assistance, emerged according to NHTSA.
Fleets increasingly rely on sensors and telematics capabilities to track driver behaviors. These include lane departure and collision avoidance systems, as well as monitoring hard braking, vehicle speed, and other such data. There has been a growing interest in augmenting these tools with video-camera systems. Cameras focused on the roadway, and sometimes on the sides of the vehicle or on the driver, can provide more context to the alerts other systems provide.
After all, hard braking could signal problems with a driver who is following too closely or driving distracted. But focusing on hard-braking events without the context of what was happening on the roadway at the time can lead to false positives. A video system can show whether, for instance, a car suddenly switched lanes and caused the driver to hit the brakes. Or, an inward-facing camera can identify driver behaviors that may have led to the hard braking, such as looking down at a cell phone or reaching for a drink. 153554b96e
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