AdRem NetCrunch
NetCrunch operates on both physical and virtual Windows Server environments, providing a robust, agentless solution for network monitoring, visibility, and a sophisticated system for managing alerts and remediation actions. It is capable of monitoring virtually any device, system, or data source within your network, as it can integrate non-standard data through various means such as logs, files, or databases, thereby contributing to the comprehensive NetCrunch network atlas.
Created by AdRem Software, NetCrunch boasts over 540 predefined monitoring packs and an array of ready-to-use sensors designed to oversee and troubleshoot the uptime and performance of network services, including switches, routers, storage devices, applications, cloud services, bandwidth consumption, and traffic patterns. The software is compatible with all major operating systems, including Linux, Windows, VMWare ESX/ESXi, Mac OS X, and BSD.
Furthermore, it empowers users to generate diverse live network maps, performance charts, adaptable dashboards, and graphical representations that refresh automatically, reflecting the real-time status of any monitored device, connection link, metric, or alert. In addition, the data gathered by NetCrunch can be securely shared through a web console or via any of the over 30 ready-made integrations with popular help desk platforms like Jira and Freshdesk, or group collaboration tools such as Slack, MS Teams, PagerDuty, and Trello, ensuring seamless communication and incident management. This extensive integration capability enhances the effectiveness of network monitoring and response initiatives.
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Statseeker
Statseeker stands out as a robust network performance monitoring solution, designed to be both rapid and scalable while also being budget-friendly.
With the capability to set up on a single server or virtual machine in mere minutes, Statseeker can map out your entire network in less than an hour, all without significantly affecting your bandwidth availability.
It supports monitoring for networks of various sizes, polling up to a million interfaces every minute and gathering an array of network data types, including SNMP, ping, NetFlow (along with sFlow and J-Flow), syslog, trap messages, SDN configurations, and health metrics.
What sets Statseeker apart is its approach to performance data, which are never averaged or rolled up, thereby removing uncertainty in tasks such as root cause analysis, capacity planning, and identifying over- or under-utilized infrastructure.
The solution's comprehensive data retention allows its built-in analytical engine to accurately recognize performance anomalies and predict network behaviors well in advance, empowering network administrators to engage in proactive maintenance rather than merely addressing issues as they arise.
Furthermore, Statseeker provides intuitive dashboards and ready-to-use reports, enabling users to identify and resolve network issues before they impact end users, ensuring a smoother and more reliable network experience overall.
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IntelliVision
IntelliVision's facial recognition technology efficiently scans an existing database of faces and matches them with those captured in real-time to identify individuals. This Face Recognition capability can detect as many as 15 faces at once within the camera’s field of view, while meticulously cross-referencing them with images stored in the database. The software employs anti-spoofing techniques through "liveness" testing, which does not necessitate the use of stereo or 3D cameras for effective verification. Users have the flexibility to populate the database with faces sourced from still images or directly from the live video feed. Over the years, the License Plate Recognizer from IntelliVision has progressed to meet the challenges posed by fast-moving vehicles and varying speeds, essential in effective vehicle monitoring. As a leading provider of embedded smart camera analytics for Smart Home and IoT OEMs, IntelliVision also excels in motion detection, facial recognition, and the identification of various subjects including humans, vehicles, and pets, in addition to offering audio analytics. This comprehensive suite of features underscores IntelliVision's dedication to improving security and convenience in contemporary technological solutions. Ultimately, their innovations reflect a commitment to staying ahead in the rapidly evolving landscape of smart technology.
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Kipod
We protect numerous people in metropolitan areas by providing security professionals with state-of-the-art AI tools and organized communication systems. Kipod enables instant searches across vast collections of CCTV footage and offers real-time notifications about criminal activities using advanced machine learning methods. It incorporates facial recognition technology to monitor crowd density and triggers immediate alerts in the event of overcrowding in public spaces, particularly during the COVID-19 pandemic and other health crises. By simply uploading a photo, users can pinpoint a person of interest and quickly receive details about their last known locations and timings. The system allows users to refine their searches based on specific criteria like age, race, gender, and eyewear, ensuring that the results are meticulously cross-verified against extensive criminal databases for accuracy. Kipod's cloud-based architecture guarantees a secure, efficient, and scalable deployment across an infinite number of surveillance cameras, serving countless users effectively. Additionally, it facilitates the sharing of resources among thousands of users from diverse organizations while maintaining stringent control over access to video footage, search functions, and individual or vehicle databases. This groundbreaking method significantly upgrades public safety initiatives in urban areas, fostering a more secure environment for every community member. Thus, with ongoing advancements in technology, the potential for even greater safety improvements in the future remains optimistic.
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