Technology Page



LTE (Cat 1, Cat M1 and Cat NB1 (Narrow band iOT)

The rapid proliferation of ubiquitous 4G LTE carrier networks has ensured widespread connectivity for all wireless connectivity needs. LTE offers much higher bandwidth, higher reliability, reduced latency, and lower overall operational costs than older 2G or 3G networks, which are currently being phased out.

There are 9 different LTE categories or “UE classes” each with different performance capabilities. LTE Category 1, Cat M1 and Cat NB-IOT networks are ideal for IoT solutions because of lower complexity, simple setup, and low overall cost while still allowing high data throughput. Cat 1, Cat M and Cat NB-IOT chipsets and modules are significantly cheaper than other LTE categories due to reduced complexity in both the baseband and RF. Forecasters predict more than 30 billion wireless connections by 2020 with most of these connections being LTE-based.

Advanced Machine Learning Algorithms

Determining cargo status based on a single sensor is error-prone. Reliability in tracking and monitoring cargo and, continuity, requires advanced hardware and software algorithms to assimilate multiple sensor data and provide actionable insight based on the unique environment and cargo types.

SeeFAM “Smart Monitor” devices leverage sophisticated machine learning algorithms to get a reliable cargo status under the most dynamic environmental situations. This will allow you to keep your attention squarely focused on the only thing you need to worry about – making the best decisions for your business.

Energy Harvesting

Sensor devices for tracking and monitoring cargo can be placed in locations that are hard to access and require low-power operation/management since battery replacement is usually not an option. These devices are expected to operate continuously for long periods which exceed the capacity of most batteries.

Unlike other solutions, SeeFAM has been able to solve this difficult problem by extracting system power from ambient energy sources. Utilizing energy harvesting with advanced power management enables a more robust, reliable solution.