Deployment-Grade Vision Intelligence for Mission-Critical Environments
We engineer real-time vision intelligence systems that transform optical and thermal imagery into actionable intelligence at the edge — where reliability, latency, and operational resilience are critical.
Performance Visibility & Decision Support
We engineer perception systems that bridge the gap between physical environments and actionable intelligence — ensuring reliable operation when connectivity is denied and conditions are unforgiving.
Reliability
We engineer systems for mission environments where failure is not an option — validated against environmental stress, operational edge cases, and extended-duration deployment.
Precision
Every system we deploy is calibrated for maximum detection probability with disciplined false alarm suppression — because operators depend on accurate intelligence, not noise.
Mission Continuity
Edge-native architectures ensure operational capability persists when connectivity is denied, infrastructure is disrupted, and environmental conditions are unforgiving.
Intelligence Frameworks
We provide end-to-end systems engineering — from thermal-native perception pipelines to ruggedized edge hardware integration.
Vision & Perception Systems
Real-time vision pipelines for optical, thermal, and infrared imagery — delivering detection, classification, and tracking for mission-critical situational awareness.
- Object Detection & Tracking
- EO/IR Processing
- Real-Time Perception
Multi-Sensor Fusion
Integrated sensor architectures that fuse thermal, visible, LiDAR, and radar inputs — resolving ambiguity where single-sensor systems fail.
- Thermal-Visible Fusion
- LiDAR & Radar Integration
- Degraded Visibility Operation
Edge AI & Embedded Vision
Perception systems optimized for real-time edge inference on low-power, embedded hardware — engineered for offline and connectivity-denied environments.
- Edge Inference Optimization
- SWaP-Constrained Deployment
- Offline Operation
Systems Engineering & Integration
End-to-end sensor integration, hardware/software co-design, and environmental robustness engineering — bridging the gap between lab performance and field reliability.
- Sensor Calibration
- Environmental Hardening
- Verification & Validation
Operational Visibility Systems
Structured visibility and decision-support architectures that unify operational data into reliable, actionable interfaces — replacing manual reporting with automated, verifiable pipelines.
- Performance Tracking
- Decision-Support Interfaces
- Reporting Automation
Performance Architecture Systems
Foundational measurement infrastructure that standardizes operational metrics and defines rigorous KPI logic — establishing an objective, fully verifiable baseline for all organizational performance.
- Structured KPI Logic
- Metric Standardization
- Cross-Domain Alignment
Intelligence in Action
Representative deployment scenarios illustrating how Pesgit systems operate in mission-critical environments — delivering persistent situational awareness and operational resilience.
Border & Perimeter Intelligence
Thermal and optical fusion systems engineered for intrusion detection in darkness, low visibility, and adverse weather — delivering persistent situational awareness across extended perimeters.
Critical Asset Monitoring
Engineered edge vision systems for monitoring energy facilities, transport hubs, and sensitive infrastructure — detecting anomalies and threats in real time without cloud dependency.
Hazard & Safety Monitoring
Vision systems engineered to identify safety violations, hazardous conditions, and operational risks in manufacturing, energy, and industrial environments.
Why Conventional Vision AI Fails
Many vision initiatives fail during deployment due to architectural assumptions that do not survive real-world operational conditions.
- Reliance on cloud connectivity for mission-critical inference.
- Models trained only on clean RGB imagery that fail in real conditions.
- Inability to operate in low visibility, smoke, dust, or adverse weather.
- High false alarm rates that overwhelm operators and erode trust.
- Lack of sensor calibration and integration expertise for field deployment.
“Engineering reliable perception for environments where mission success is the only metric that matters.”
— Pesgit Engineering
Engineered for the Field, Not the Lab
We don't deliver cloud-dependent prototypes. We engineer deployment-grade vision systems designed for operational reliability.
Typical AI Providers
- ✕Cloud-dependent architectures that fail offline
- ✕RGB-only models that degrade in adverse conditions
- ✕High false alarm rates that overwhelm operators
- ✕Software delivery without systems integration
The Pesgit Approach
- ✓Edge-native & offline-capable architectures
- ✓Thermal-native perception with multi-sensor fusion
- ✓False alarm discipline with maintained detection probability
- ✓Full systems engineering & sensor integration
Secure your operational perimeter.
Contact our engineering team to discuss your deployment constraints, sensor requirements, and how deployment-grade intelligence systems can fortify your mission-critical environments.