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Biometric technology can improve workplace safety through sensors and monitoring
Organizations can use biometric technology to improve workplace safety and employee safety through sensors and surveillance, but employers must also assess its potential impact.
As health and safety issues become the core of every business's future, people will discover a new digital interface: their body.
Biometric interaction includes several methods for measuring and analyzing human physical or behavioral characteristics. Taking into account the individual's unique biological attributes-fingerprint, voice, face, iris or DNA-biometrics has considerable advantages over passwords, but the opportunities and risks far exceed access control.
Biometric sensors for employee authentication and access control have been used in high-security environments such as government and financial services for decades, but now, companies of all sizes and industries are deploying IoT biometrics.
Explore different biometric uses
New changes in technology, cost, and health and safety practices are rapidly expanding the market with more than a dozen different use cases.
(1) Recognition through smart infrastructure implementation. Smart door locks, terminals, machines, and cameras are all examples of devices that organizations can equip with biometric sensors to verify personal identity to access places or resources. The organization also develops related solutions for remote access, such as telemedicine.
(2) Recognition by non-contact sensor. In view of the new coronavirus, non-contact contact points provide a way to reduce the possibility of infection spread. Some organizations use IoT biometric technology for high-security purposes, such as access control and payment. For example, Hewlett Packard Enterprise's new job return product includes facial recognition, allowing employees to enter the corresponding area without touching the door handle or keyboard.
(3) Multi-factor authentication. Biometrics is an emerging factor used by organizations as a corporate security authentication mechanism. For example, when using corporate mobile applications to access sensitive data, accounts or other assets, employees are required to provide biometric technology for access control login authentication.
(4) Determine the risk reduction. Biometrics is also used to reduce fraud, theft, cyber risks and health risks. For example, Coca-Cola uses a biometric fingerprint identification system to track the activities of independent truck drivers entering its canning facility. Another company called Verifyii provides authentication for visitors and suppliers through thermal scanning to reduce the risk of the epidemic.
(5) Candidate evaluation. Organizations can use biometric analysis systems to analyze and evaluate potential employees during the recruitment process. Recruiters use voice and facial recognition AI to conduct video interviews and analyze word choices, tone of voice, and facial expressions based on responses to assessments of gamified behavior.
(6) Position and proximity monitoring. In addition to cameras, IoT biometric sensors have also appeared in wearable devices and can monitor the activities of employees. Companies are using geofencing, tactile and other features to monitor and ensure social distance between employees.
(7) Workplace analysis and monitoring. Biometric analysis can detect movement, proximity, heat, and interaction of facilities in offices, hospitals or factories. Organizations use these analyses for staffing, performance monitoring and training.
(8) Remote workplace monitoring. As millions of workers quickly move to work from home environments, employee monitoring tools follow. This more controversial use case is motivated by employers’ concerns about productivity. Some employers have installed various camera technologies (for example, the group video conferencing software Sneek, which is always enabled by default), to ensure that employees work properly and easily connect to employees.
(9) Perform performance analysis through biometric monitoring. Various IoT devices can be equipped with sensors that infer various physiological and emotional states. For example, heart rate, gaze tracking, and temperature sensors can indicate stress levels, participation levels, etc. In some situations, particularly intrusive solutions are proposed for monitoring the physiological response of leadership or employee satisfaction. Although it is a new thing, the use of this biotechnology in the workplace can integrate various work processes, such as:
In the training, the emotional state of the trainee may influence and adapt to the problems, tasks or sequences in the course.
In logistics, fatigue checks can be performed on drivers or machine operators.
In robot interaction, the robot can be equipped with a scanner to read human emotions or gestures.
(10) Security and compliance analysis. Intelligent monitoring of safety (such as avoiding danger, ensuring compliance, quality assurance, or protecting employees) has always been the biggest selling point for biometrics and thermal imaging cameras. Identity verification can ensure the privacy of patients and provide analysis in construction sites or manufacturing plants. However, after the epidemic, this category has been greatly expanded.
(11) Public health and health analysis. A sanitary environment has become the key to the survival of the world economy after the pandemic. Software supporting health-related safety and hygiene is proliferating. These solutions provide predefined AI models that run on IoT devices to detect a series of biometric and behavioral signals. FogHorn System’s new Lightning Edge platform provides cough and high temperature detection, hand washing monitoring, social distance monitoring, protective cover detection and personal protective equipment monitoring.
(12) Health and wellness. Employers also provide workers with multiple options to enable biometric health monitoring. Some plans are linked to insurance products and discounts, such as Humana's partnership with Fitbit's employee assistance program. Others are less insurance-centric, but are aligned with broader company health plans, which provide devices and applications that can monitor everything from diet and sleep to mental health. PricewaterhouseCoopers recently provided its employees with AI wristbands to monitor stress levels during the pandemic.
Key issues for IoT leaders
The Internet of Things biometric technology represents a fundamentally different interface from simulation methods, machines, and screens, and brings some novel problems to enterprises. When IoT and other leaders evaluate these implementation decisions, they must evaluate more than just technical feasibility.
Culture: Is the leadership prepared to provide visibility, accountability, and choice, and invest in trust-building processes and tools when asking employees to share biometric information?
Productivity: Will digital monitoring tools really increase productivity? Compared with alternative methods, are the benefits greater than the risks?
Risk: What are the technical and system risks of machine error, fraud, simulation, privacy, anonymity, abuse or destruction?
Responsibility: What are the legal consequences (or gray areas) involved in collecting biometric data from workers?
Ethics and employee rights: What is the ethical significance of collecting sensitive biometric data (outside of proprietary use) in the event of violations, unintentional abuse, or unintended consequences? How do factors outside the organization (such as high unemployment and loss of income) erode worker choices?
Market and competition: Which market, technology, society and competitive forces will affect the adoption of biometric interfaces? How should your industry or organization incorporate it into its strategy?