Driver Alcohol Detection Solution Aims to Reduce Drunk Driving Accidents Two new smart sensor systems for automobiles developed by KEA Technologies use touch- and breath-analysis technology to automatically measure a driver’s blood alcohol content. The system can accurately determine in less than a second whether the driver might be impaired and if so, can keep the engine from starting.
IoT Boosts Video-based Security Systems Security is a top priority for companies and government institutions across the globe, and that is fueling demand for artificial intelligence-based video surveillance systems. Strategically placed in smart cities, airports, and federal buildings these systems can ensure that citizens, employees, and passengers are safe.
Decentralized Edge Devices Train AI Models Quickly and Ethically Machine learning drives artificial intelligence, but cloud-based training models can compromise sensitive user data. AI developers are using federated learning and edge computing to protect user privacy and to train models from multiple sources.
AI-Enabled Drones Protect Animals and Save Lives Drones with integrated cameras, machine learning analysis, and low-latency live streaming are protecting Australia’s beachgoers from shark attacks and crocodile encounters. The same technology enables rescue efforts for swimmers and surfers in distress, while providing information about marine life and habitats.
Computer Vision Solution Delivers Clarity with AI An intelligent computer vision solution corrects the distortion common in fisheye lenses and embeds metadata directly in the images to enable advanced AI-based applications. The technology improves images from cameras used in security, phones, laptops, and video conferencing solutions. Another application in the works is Joyce, a humanoid robot that integrates advanced optics with cognitive capabilities to allow for more human-like interactions.
Reimaging Security: Protecting IoT Devices at The Edge Increasing numbers of mobile users, remote nodes, and IoT devices are located outside the protection of traditional network security. As attackers frequently target IoT and OT devices, organizations are turning to solution integrators and aggregators to integrate edge-to-cloud security solutions that can protect the network infrastructure. View our on-demand webinar and learn how to reduce vulnerabilities.
On-Demand Webinar: Driving Edge-to-Cloud Security for IoT The separation of IT and OT in organizations with increasingly connected IT, OT, and Internet of Things (IoT) systems and devices at the edge can lead to security blind spots. Watch this webinar to learn best practices in eliminating the attack surface area and understand how to choose the right partners and technology to reduce vulnerabilities and increase operational resiliency.
To the Rescue: IoT Helps Locate Lost Children in Crowded Public Spaces When children get lost in crowded shopping centers, IoT technology can help security teams identify, locate, and track movement of the missing youngster. Learn how malls are using a network of intelligent cameras, computer vision, mapping, and automated response technology to provide an extra layer of security in public spaces.
IoT and Mesh Networking Promise Faster Wildfire Detection The Department of Homeland Security and SCITI Labs continue their multiphase plan to test sensors for detecting wildfires in the western United States. Meanwhile in Germany, startup Dryad is developing a wireless environmental sensor network based on LoRaWAN. All groups expect IoT technologies to identify fires and provide alerts more quickly than satellites and cameras.
IoT Hits High Notes with Security Management for Large Venues Artificial intelligence and biometrics are increasingly used to ensure the safety and security of the thousands of patrons, performers, athletes, and workers at large venues. From arrival to departure, machine learning will help event organizers maintain a safe, efficient experience.
- 1 of 3
- next ›