“It is clear from their portrayals, that the pervasive workplace misconduct has left sizable impacts on those who suffered from it over the last several years,” the lawmakers stated, noting they have been “extremely disappointed” Snyder declined to testify at subsequent week’s listening to.

“There is an opportunity for the NFL and the Commanders to lead by example, not by attempting to silence victims, but by ensuring this type of rampant abuse is not tolerated going forward.” “We encourage the NFL and the Washington Commanders to do the right thing ahead of the June hearing and release the report,” they stated. The Associated Press contributed to this report.Next time you fill your motorcycle with petrol you might get a nasty surprise beyond the sheer size of the bill: an increase in ‘drive-off’ crime means you’re more likely than ever to be asked to remove your helmet at the pumps.Ĭonnolly and Jennifer Wexton of Virginia, Eleanor Holmes Norton of D.C., and Anthony G. Taking your lid off when refuelling has long been a contentious point for many riders. No helmet detection system uses images from surveillance cameras in real time and analyzes them for detecting helmet on head using computer vision and machine learning techniques.It’s inconvenient and increases the chances of dropping and damaging an expensive helmet as you either balance it on your bike or try to juggle helmet, fuel nozzle and keys to open the fuel cap. Vehant’s no helmet detection system makes use of neural network-based detection to recognize whether a person is wearing a helmet or not even from far. Detecting safety helmet-wearing in surveillance videos is an essential task for the industry to ensure those responsibilities. Some of the major responsibilities for construction industry include safety management, compliance with regulations and reducing the death rate from accidents at construction sites. The No Helmet Detection System by Vehant uses traffic images captured by cameras in real time and is capable of classifying the violators accurately. An automated system can be a one-stop solution for motorcycle detection and classification on public roads and for automatic detection of motorcyclists and bicycle riders without helmet.

Helmet is the primary security measure for all riders however it is not utilized properly. A system that can act as a measure to curb such happening is a must for the authorities to enforce law and order effectively and ensure public safety. With significant increase in the number of two-wheelers used, people are more prone to accidents.

Vehant’s no helmet detection system makes deep learning based automated system for helmet detection using trained models and datasets that would be useful for the public authorities to enforce the law for the betterment of society, as well as others such as construction and hospitality industries to ensure compliance with regulations. The head is the most critical and vulnerable area of human body, use of a protective helmet is crucial for safety against fatalities.Īn automated helmet detection system can distinguish person wearing a helmet from those who don’t. The system is useful for public authorities in enforcing law and order, for safety management and compliance with regulations. Vehant’s no helmet detection system makes deep learning based automated system for helmet detection using trained models and datasets that would be useful in various aspects.

The principle goal of Helmet Detection System is to guarantee the safety of the people wearing them. TrafficMon® - No Helmet Violation Detection System

Nlo helmet