Minerva’s OGI, thermal, and optical cameras continuously scan for gas emissions like methane, ensuring environmental compliance and reducing harmful emissions.
FORECR & CleanConnect.ai Success Story
Empowering Real-Time Emissions Monitoring in Oil & Gas
Industry:
Oil & Gas
Use Case:
Real-time monitoring and emissions management using adaptive operational intelligence technology.
Image: Minerva Sensor Fusion
Project Details
About CleanConnect.ai
CleanConnect.ai develops Al-driven solutions for the oil and gas sector, automating site monitoring and emissions management using adaptive Operational intelligence technology. Their platform identifies gas leaks, monitors PPE, and detects hazards like flames, smoke, and liquid leaks to enhance safety and reduce emissions. Their autonomous365 suite provides real-time insights for managing facility operations efficienlty.
About Minerva
Key Features of Minerva: The Emissions Monitoring System
Real-Time Gas and Emissions Detection
Fire and Smoke Detection
Equipped with optical cameras, Minerva detects fires and black smoke, allowing operators to address hazards immediately for enhanced safety.
Liquid Leak Detection
Minerva monitors liquid leaks to prevent soil contamination and manage environmental risks from spills.
Multi-Sensor Fusion
Using NVIDIA's Jetson module, Minerva integrates multiple sensors into a compact, tower-mounted unit, replacing the need for large, site-based computers.
Autonomous Operation
AI models automate monitoring, analyze anomalies, and alert operators, reducing human oversight and enabling rapid responses.
Alert Management Platform
Alert Management Platform
Environmental Compliance
Minerva supports cleaner operations by helping companies monitor emissions, meeting regulatory standards for air quality.
Image: Minerva Sensor Fusion
Objective
The partnership between CleanConnect.ai and Forecr aims to advance Minerva’s visual automation system’s efficiency and reliability in demanding industrial environments by leveraging Forecr’s durable, high-performance hardware that provides energy-efficient, scalable AI performance for edge processing and supports real-time monitoring needs with low latency and high responsiveness.
Solution
FORECR’s Hardware Powers CleanConnect’s Minerva System
Minerva employs Forecr’s Carrier Board with NVIDIA Jetson Processors for high AI performance and on-edge processing.
NVIDIA Software Frameworks Used
- NVIDIA DeepStream for video analytics
- NVIDIA TensorRT for optimized AI inference
- NVIDIA CUDA for parallel processing
Forecr’s Impact on CleanConnect’s Minerva Project
Forecr’s advanced hardware helps Minerva to become a more powerful, reliable, and sustainable solution, effectively supporting CleanConnect’s goal to improve safety, regulatory compliance, and environmental responsibility in the oil and gas industry.
Enhanced Processing Power: Forecr's carrier board enable Minerva's high-speed, on-edge processing, allowing real-time data analysis and immediate hazard detection without off-site computing, reducing latency.
Industrial Durability: Forecr's rugged hardware ensures Minerva's reliable operation in extreme industrial conditions, minimizing maintenance needs.
Compact Design: Forecr's integrated sensor and camera setup reduces Minerva's footprint, streamlining installation and making the system easier to deploy and maintain.
Energy Efficiency: Forecr's energy-efficient design supports Minerva's 24/7 operation with low power consumption, aligning with CleanConnect's commitment to sustainable, cost-effective operations.
Why CleanConnect Selected FORECR and NVIDIA SoM for Their Solution
"Forecr's advanced hardware helps Minerva to become a more powerful, reliable, and sustainable solution, effectively supporting our goal to improve safety, regulatory compliance, and environmental responsibility in the oil and gas industry. We also selected the NVIDIA Jetson SoM for Minerva because it delivers exceptional AI performance, energy efficiency, and scalability — key features that align with CleanConnect.ai's mission for advanced, real-time solutions."
Jaren Samples, VP of Operations at CleanConnect.ai
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