
Elecard Boro is a professional software solution designed to monitor video stream health and track QoS/QoE parameters across distributed networks. By providing centralized access to statistics and automated reporting, Boro enables telecom professioals to build a powerful monitoring ecosystem from scratch or easily scale existing infrastructure to ensure flawless broadcast quality.
How it works:
Boro utilizes distributed software probes to monitor UDP, RTP, HTTP, HLS, DASH, SRT, and RTMP streams. By aggregating multi-point measurements on a centralized server, operators can instantly isolate quality degradation across the entire delivery chain. The platform provides network-wide visibility and real-time alerts for ETSI TR 101 290 errors via Email, SNMP, Webhook, PagerDuty, and Telegram.
Key Features:
• Rapid Deployment & Scalability: Launch a monitoring probe in just 30 minutes. Easily scale your infrastructure by adding new probes to the unified Boro ecosystem on any hardware.
• Proactive Issue Resolution: Monitor over 50 QoS and QoE parameters (including full ETSI TR 101 290 compliance) and use triggers to localize network anomalies before they impact viewers.
• Advanced Diagnostics: Use comprehensive analysis of SCTE-35 ad-insertion cues and PCAP stream recording for in-depth delivery troubleshooting.
• Effortless Integration & Access: Access monitoring data from any device via an intuitive web interface. Seamlessly integrate Boro into your existing workflow using WebHook, SNMP, and ControlAPI.
• Operational Efficiency: Reduce the workload on QA and network engineers through automated regular reporting, advanced visualization dashboards, and smart threshold tuning that eliminates false alarms.
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gtechna’s smart parking management and enforcement solution is trusted by leading cities worldwide. Our cloud-based system empowers municipalities, transportation agencies, and universities with cutting-edge applications that increase parking revenue, cut operational costs, and improve the driver experience.
By choosing gtechna for your parking management and enforcement needs, you're partnering with an industry leader known for constant innovation. Cities like Washington, D.C., Boston, Pittsburgh, Toronto, and Vancouver have already transformed their parking infrastructure with gtechna—now it's your turn to experience the future of parking.
Upgrade to a scalable parking management and
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Carmen® Mobile
Carmen® Mobile is an innovative Android app that effectively turns your smartphone into a powerful tool for Automatic Number Plate Recognition (ANPR) as well as Make and Model Recognition (MMR). Users can easily capture key details such as license plate numbers, vehicle make, model, color, timestamps, and GPS coordinates from both moving and stationary vehicles. With support for over 38,000 different plate types and more than 230 vehicle models throughout Europe, North America, and other regions, Carmen® Mobile guarantees precise identification in various settings. The application is designed with several operational modes, including in-motion, fixed position, and parking, making it adaptable to different monitoring needs. Additionally, its integration with cloud-based ANPR services allows for efficient data processing and the ability to upload events to specified servers using FTP or REST API. This versatility positions Carmen® Mobile as an effective tool for traffic surveillance, parking enforcement, and enhancing security measures. Overall, its user-friendly interface and robust capabilities make it an ideal choice for professionals in need of reliable vehicle recognition technology.
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Carmen Cloud
Carmen® Cloud is an innovative cloud-based solution for Automatic Number Plate Recognition (ANPR) that utilizes cutting-edge machine learning techniques to accurately identify license plates, as well as the make, model, and color of vehicles in more than 200 nations. The system's algorithms are designed to be dynamic, allowing them to continuously evolve and maintain dependable performance even in challenging environments.
With the convenience of a single API call, it enables easy access to ANPR, Make and Model Recognition (MMR), and Hazard Identification Number Recognition (ADR), facilitating quick implementation in various contexts such as traffic surveillance, parking systems, and security measures. Carmen® Cloud's robust and scalable architecture can handle varying operational demands, ensuring rapid insights without any delays or bottlenecks.
The solution's worldwide applicability and flexible deployment options make it an ideal choice for organizations that require reliable and precise vehicle recognition solutions, ultimately enhancing their operational efficiency and security measures. Furthermore, its adaptability to different scenarios underscores its significance in modern vehicle management systems.
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