USER PAIN POINTS
Video stuttering, failing to retrieve video, poor image qualit, what's wrong?
Challenging to identify malfunctions
Problems such as the retrieval of videos, video smoothness, and the quality of video images are difficult to be discovered quickly. Currently, it mainly relies on manual monitoring or polling, resulting in low monitoring efficiency. The quality management of a massive number of cameras faces huge challenges.
Challenging to identify the fault location
Surveillance video failures involve many links such as cameras, dedicated lines, bearer networks, gateways, servers, storage, application platforms, and monitoring terminals, and fault location requires a lot of time and manpower.
Challenging to troubleshoot
The faults involve various levels of networks, network integrators, platform integrators and telecom operators. There are problems such as unclear definition of responsibilities, difficulties in coordinated resolution, and a tendency to shift blame onto each other.
Rough quality management
The assessment of video operation and maintenance simply takes the online rate as the sole assessment indicator, making it difficult to truly reflect the operation quality of the video surveillance system and to promote the improvement of the operation and maintenance quality.
SOLUTION
Full-link and Full-stack Monitoring of Video Services
By adopting a variety of new monitoring technologies, it achieves end-to-end full-stack monitoring of video services for the first time in the industry, covering the network layer, the transport layer, the video stream, the signaling stream, the image layer, and the service layer.
Using AI algorithms to automatically diagnose and locate faults, it realizes, for the first time in the industry, the pinpointing of faults to specific network elements and specific root causes, covering aspects such as cameras, network devices, NVRs (Network Video Recorders), video gateways, storage systems, and video platforms.
Fine-grained Assessment and Guarantee System
For the first time in the industry, a fine - grained assessment indicator system has been achieved, including video online rate, video integrity rate, video recording availability rate, annotation accuracy rate, signaling delay, video stream delay, key frame delay, etc.
AI algorithms are adopted to automatically diagnose and locate faults. For the first time in the industry, fault location down to specific network elements and specific root causes has been achieved, covering links such as cameras, network devices, NVRs, video gateways, storage, and video platforms.
Cope with the assessments from superiors
Automatically sense the assessments and inspections from superiors, estimate the assessment indicators, and carry out rectifications in advance.
Establish your own assessment system
Cover the assessment indicators from superiors and conduct assessments layer by layer downwards.
Automated assessment inspection
Automatically detect, automatically generate assessment indicators, and automatically generate assessment reports.
Define the scope and responsibilities
Clarify the attribution of problems and issue work orders to relevant responsible parties for rectification.
Precise assessment
Conduct precise assessment of the responsible parties, and exclude issues not related to themselves from the assessment scope.
Meet the assessment
standards
PRODUCT VALUE
Redefine the monitoring means
One system provides a panoramic view of the entire network. It transforms from sampling-based manual/polling monitoring to full - link, full - stack stare - like monitoring and precise positioning.
Solve the pain points of difficult fault detection and location
Redefine the maintenance mode
Shift from the passive maintenance characterized by shirking responsibilities to a targeted and proactive maintenance mode.
Solve the pain point of difficult fault handling
Redefine the indicator system
Shift from a single online rate indicator to a 360-degree quantitative evaluation indicator system.
Solve the pain point of crude quality management
Redefine quality management
Shift from extensive quality management to refined assessment closed-loop management with linkage between superiors and subordinates.
Solve the pain point of crude quality management