Safety Detection System – Microanalytical Blogs

MICROANALYTICAL’s Safety Detection System-An Automation Tool , typically based on Deep Learning Methods is to enhance or improve the safety of workers in your organization.

Each day, countless workplace injuries and illnesses are prevented through the use of personal protective equipment (PPE). Employers in the manufacturing, construction, and other sectors where hazards can threaten health and safety and evaluate their operations to identify risks and develop PPE policies to minimize them. Measures taken by various enterprises to enhanced workers safety can be the solutions such as hard hats, goggles, or gloves and vest

Therefore, our team at MICROANALYTICAL has created a Safety Detection System to accurately detect and ensure that your workers are wearing safety equipment and helps in maintaining your workplace safe. We use our Computer Vision and highly trained Artificial Intelligence Model and an enterprise alert system to focus on Detecting Safety Equipment like hard hats, goggles, or gloves and vest with a higher accuracy to provide you in maintaining more safer environment. If any person not found wearing safety measures then an Alert can be sent to mobile phone, VMS, Security Platform, or a cloud website. It is fast, friction-less, contact less, and very accurate.

Methodology

Neural Network created for Safety Detection System is based on Object Detection.

Object Detection

It is a technology that detects the semiotics objects residing inside a class in the form of digitized images and videos. One of its real -time application is self-driving cars. In this, our task is to detect multiple objects from an image. The most common object to detect in this application is the car, motorcycle and the pedestrian. For discovering objects in the image, we use Object Localization and it can identify multiple objects in real time systems.

The more complicated problem, of object detection involves both classification and localization. In this case, the input to the system will be a image, and the output will be a bounding box corresponding to every objects residing an image, along with the class of object in each box. An overview of all these problems is depicted in the below figure.

We have used YOLO (You Only Look Once) model for detection of person wearing face mask. YOLO does the training on full-fledged images and straightly optimizes detection performance.

Our Artificial Neural Network uses distinctive features from the whole image to predict and create each bounding box. It also predicts every bounding box in utmost different classes for an image sequentially. The YOLO depiction allows throughout training and real time speeds while nurturing higher average precision in every go through.

Linear Regression algorithm is used for training of our model to predict accurately. Model has been trained on thousand of images splited into test and validation folder. Test contains 75% of whole dataset and validation consist of 25% images from the dataset.

How It Works

Deploy Safety Detection

MICROANALYTICAL offers an enterprise solution that is pre-configured and ready to deploy. MICROANALYTICAL’s Safety Detection System is always searching and watching for a person not wearing safety equipment. This helps in detecting the person that may not be wearing equipment and keep helps them safe.

Equipment Detection

Once a workers not wearing safety items are detected, Our installed software sends a real-time video feed or an image feed to your security staff, administrator or whomever you designate. At the same time, it can also sent to other enterprise security platform.

Automated Alert System

MICROANALYTICAL’s Safety Detection system does not need to be manned and our computer vision enabled techniques proactively alerts the right people of your choice.