Artificalintelligenceintegeration

  credits:   https://www.optisolbusiness.com/insight/using-computer-vision-to-improve-health-and-workplace-safety Recent developments in the field of training  Neural Networks  (Deep Learning) and advanced algorith m  training platforms like Google’s TensorFlow and hardware accelerators from Intel (OpenVino), Nvidia (TensorRT) etc., have empowered developers to train and optimize complex Neural Networks in small edge devices like Smart Phones or Single Board Computers. This has led to a profusion of initiatives to use such trained models in the domain of Health and Safety (HSE) at the workplace. Here is a summary of initiatives that Optisol Datalabs has been working on in the past year to improve safety and avoid accidents.  Computer Vision Analytics  helps to improve Health and Workplace safety Computer Vision Process Flow Computer vision analytics  model typically follows this process flow. The first step is to generate or collect training data....

credits: https://www.optisolbusiness.com/insight/top-5-reasons-to-build-a-digital-workplace-for-manufacturing-enterprises  The digital workplace is all about the employees’ ability to do their job by collaborating, communicating, and connecting with others. The goal is to forge productive business relationships within and beyond natural work groups and to enable knowledge sharing across the organization. A digital workspace is an integrated technology framework designed to deliver and manage app, data, and desktop delivery. For a digital workspace solution to be successful, it must provide a unified, contextual, and secure experience for IT and end-users. The digital workplace allows easier access to virtual meetings and removes the barriers of time, location, devices, and network connections, it provides employees greater work-life balance while increasing productivity and agility for the organization. Improve services and processes. By 2021, only one-quarter of midsize and l...

  credits:   https://www.optisolbusiness.com/insight/personality-traits-analysis-among-social-media-influencers The idea of this project is to build a  sentiment analysis model  t hat detects the emotions that underlie a tweet. It makes associations between words and emotions and the aim is to classify the tweets into sentiments like anger, happiness, sadness, enthusiasm etc. rather than the usual sentiment classification that only involves truly contrasting sentiments of Positive and Negative. We have considered 3 different approaches to build this Social IQ analysis pipeline. They are Universal Sentence Encoder Doc2Vec LSTM The performance of each of these approaches are explained below. The Data: The data can be downloaded from GitHub —  https://raw.githubusercontent.com/tlkh/text-emotion-classification/master/dataset/original/text_emotion.csv The d a ta is in tabular form and each row is divided into 4 columns namely the tweet_id, sentiment, author and conte...

  Credits:   https://www.optisolbusiness.com/insight/vision-analytics-4-ways-to-enhance-industrial-safety Computer vision is a field of  artificial intelligence  that works on enabling computers to see, identify and process images in the same way that human vision does, and then provide the appropriate output. Computer Vision is the same as imparting human intelligence and instincts into a computer. A  computer vision  (CV) model is a processing block that takes uploaded inputs, like images or videos, and predicts or returns pre-learned concepts or labels. Examples of this technology include image recognition, visual recognition, and facial recognition. According to m a rketsandmarkets, the computer vision market is expected to grow from USD 10.9 billion in 2019 to USD 17.4 billion by 2024-growing at a CAGR of 7.8% during the forecast period. Major factors driving the market growth include the increasing need for quality inspection and automation, growing d...