The dataset covers a wide range of images involving multiple scenarios, under different lighting conditions, different angles, major card brands which help in cut off the hassle of collecting data and augmenting it later for different scenarios.
The more the number of images annotated, the better will be the accuracy of a machine learning algorithm. The variety of datasets also helps in the learning different scenarios for the machine learning algorithms which yields a better output result under all types of circumstances.
Consuming the dataset made easy with a wide range of integration support starting from REST API to Cloud data storage support. With a few lines of code, you can easily consume and store the dataset at your end.
Based on the available proof, the COVID-19 virus is spread between people by close contact and droplets, not by airborne transmission. The people most at risk of the virus are in close connection with a COVID-19 victim or care for COVID-19 patients. It is thought to be transferred mainly through respiratory droplets produced when people cough, sneeze or exhale. SARS-CoV-2 also gets transmitted by touching, by direct touch, and through contaminated surfaces or objects and then touching their mouth, nose, or probably their eyes.
WHO issued major preventive measures to avoid the spread of the virus, such as
Extra precautions are needed by health care workers to preserve themselves and limit transmission in the healthcare environment. Precautions to be performed by health care employees caring for victims with COVID-19 include using PPE properly. But checking whether everyone wears their respective PPE kits properly or not is not that easy. As a result, many healthcare industries require a system that should automate the warning process of a person when anyone violates the rules of wearing PPE kit tools. That automated system is a healthcare PPE kit detection system.
We collect several images of healthcare staff who are not wearing masks, wearing masks, and not properly wearing a mask. Then we also extracted images of healthcare staff for detecting safety things such as goggles, PPE, vest, Etc. First, we extract all these images by extracting them from different sources, such as social media platforms and machines (cameras) of different resolutions. Then our annotation teams annotated the extracted images with correct label kinds such as masks, no mask, and not wearing them correctly, goggles, PPE kit, vest, etc.
The pharmaceutical business is one of the most dynamically expanding businesses that donate heavily to the world economy. WorkersHowever, employees working in pharma companies often face life-threatening risks as they continuously have to deal with harmful chemical substances and drugs. This is particularly true in cytotoxic medicines that are very effective in treating diseases but are toxic, quite to pose a serious health risk to health care professionals, pharmacists, nurses, and companies who handle them.
Protective equipment thus provides security to workers from harmful biological and chemical substances, including infective agents. But sometimes, few people don’t wear PPE kits properly due to their negligence or any emergency. Due to this small mistake, they are putting themselves in a risky situation and may chance to transfer small viruses to drugs. So pharmaceutical industries and companies take a one-forward step to integrating a PPE kit detection system into their existing cameras. Then those normal cameras turn into automated monitor cameras to monitoring every worker in the industry and send alert messages to authorities and respective persons if any person doesn’t wear their respective PPE.
The last few months have observed a transient rise in the demand for PPE from the healthcare domain. The much-dreaded COVID-19, ever since its beginning, has majorly upset the global medical division. Given the way the disease spreads, the market for protective masks, gloves, gowns, and more has observed an escalating upsurge not only across healthcare companies but also from the common public. Indeed, the demand for these PPE has risen to the point where the need is much more than the supply.
With the quantity of positive COVID-19 cases growing by the hour, governments take serious action like taking strict rules on healthcare staff and patients who are confirmed or possible SARS-CoV-2 infection should wear a PPE kit when being evaluated medically and also who are near to patients. Starting stage, someone observed every person and warn if anyone neglect wearing PPE kits. Then healthcare industries realize this process is not an optimized process; then, they are deciding to automate this process. So industries integrate AI-based PPE kit detection models to monitor everyone and send alert/warn messages to a person if hospital staff or patients don’t wear their respective PPE kits and send a report to the respective healthcare authorities with personal details
The whole foundation of the F&B industry, which is surely regulatory-driven, is based on hygiene and quality restriction. Product contamination does not merely affect the shelf life and food quality but also seriously harms the business in terms of investment and reputation. The retail side of the business is known to receive the direct influence of not adhering to protective standards.
In addition, workers employed in the packaging, processed food, and beverage sectors will also strictly wear protective equipment (PPE) to ensure that the food handles pass the highest security and hygiene standards. So same like other industries here also F&B industry authorities take action to automate the process of monitoring whether everyone wore their associated PPE kits while doing their jobs. And finally, F&B industries are integrating AI-based PPE kit detection systems into their industries. It will monitor everyone and send alert/warn messages to a respective staff person also report to the higher authorities with particular person details if the staff doesn’t wear their respective PPE kits.