Makes managing of IOT end points so simple and cost effective
What do you like best about the product?
We specialise in using computer vision to monitor operations. To create a platform that is cost-effective and widely accessible, we use readily available edge devices. These systems are often deployed in less-than-ideal settings at our customers' locations. To address this, we have developed a monitoring infrastructure that detects the status of the devices and relays this information back to our headquarters. However, this infrastructure requires significant engineering time for maintenance, support, and new feature development. In addition, we also devote substantial resources to managing the data storage and analysis of the large number of devices we have. Implementing LOGIQ.ai solutions has dramatically improved our project development cycle and allowed our engineers to focus on their expertise in vision-related tasks. Using LOGIQ.ai has enabled us to meet our financial and schedule constraints effectively.
What do you dislike about the product?
No specific negatives. There is a lot more we can do with LOGIQ, and it just takes time to understand all the additional capabilities.
What problems is the product solving and how is that benefiting you?
LOGIQ.AI solves two of the problems we had with monitoring our IoT devices.
Metrics Data Collection and Management: collecting and managing data from multiple devices and protocols, making it easier for us to monitor and analyze IoT data, identify trends, and detect anomalies.
Predictive Maintenance: LOGIQ can help predict when maintenance is required, reducing downtime, preventing costly repairs, and extending the lifespan of IoT devices.
Metrics Data Collection and Management: collecting and managing data from multiple devices and protocols, making it easier for us to monitor and analyze IoT data, identify trends, and detect anomalies.
Predictive Maintenance: LOGIQ can help predict when maintenance is required, reducing downtime, preventing costly repairs, and extending the lifespan of IoT devices.
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