Signal
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Signal
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Equipment and Personnel Monitoring System
The system displays the current status, workload, and malfunctions of machines based on 8 indicators related to production efficiency and labor productivity.

Sensors are installed on all machines and send data about all events on each unit of equipment in near real-time.
FUNCTIONALITY
01
Machine map at the enterprise
02
Visualization of connected equipment
03
Historical data for the selected time period
TECHNOLOGIES
Python
01
Actual equipment workload
Kafka, RabbitMQ
PostgreSQL
Deep Learning
Redis
Docker
02
Equipment unit performance
03
Historical data for the selected time period
MONITORING
ANALYTICS
BUSINESS IMPACT
30%
INCREASE IN PRODUCTIVITY
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