Multi-modal recognition
Fused computer vision for every asset in motion.
- Face recognition with unknown re-identification buckets
- People tracking with shirt color sampling near heads
- YOLO-based object and package recognition with custom labels
Sentinel multi-cam ai
Precision surveillance for every Ioncore-powered perimeter.
Sentinel fuses Ioncore energy resilience with multi-camera computer vision. Run eight 4K streams locally, classify people, faces, objects, and vehicles in real time, and trigger automated workflows without compromising on data sovereignty.
≤33 ms UI loop latency
8 concurrent video feeds
CUDA & OpenVINO optimized
Human-centric AI with explainability at the core.
Every detection can be traced, tuned, and justified. Sentinel tracks actions, context, and historical fingerprints so operators can trust automated interventions.
Events that read like plain English
Log what actually happened — not just raw frames.
- Picked-up, held, and placed events with precise durations
- Spot-locks to suppress repetitive tagging in stable scenes
- Auto-place timeouts to resolve lingering items
Alerting that reaches your team
Turn detections into responses instantly.
- Webhook integrations for SOC dashboards
- Push notifications via Pushover, Telegram, and Twilio SMS
- Local queues for faces, people, and vehicles with quick actions
Built for on-prem assurance
Sentinel runs at the edge with hardware-aware optimizations. Whether you deploy on CUDA GPUs or Intel CPUs with OpenVINO, the stack is tuned for sub-40ms responsiveness.
- Core: OpenCV pipelines with YOLOv3 for object detection and
face_recognition(dlib) for faces - App: Multi-threaded desktop client with Tkinter UI and GPU-aware workers
- Database: Local SQLite event store with perceptual hashing for vehicle snapshots
- Explainability: Threshold tuning overlay, heat maps, idle percentage controls, and NMS tuning
Flexible licensing aligned with your rollout plan.
Scale from pilot to enterprise-wide coverage with licenses that include updates, model refreshes, and support.
Pilot
$4,800
Ideal for a single facility or proof-of-concept.
- Up to 4 camera streams
- Standard alerting channels
- Quarterly model refresh
- Email support
Operations
$9,600
Designed for multi-site teams that need resilience.
- Up to 8 camera streams
- Custom object libraries
- 24/7 alerting with failover
- Phone & chat support
Enterprise
Custom
Tailored to high-security installations with compliance needs.
- Unlimited camera clusters
- Dedicated success engineer
- Private model training
- On-site commissioning
Estimate your event storage footprint.
Model how Sentinel compresses data across locations while maintaining a complete audit trail.
Projected SQLite footprint
~ 3.9 GB
Ioncore field teams benchmarked the Operations tier at roughly 3.9 GB for 30 days of retention across 8 cameras with snapshot attachments. Your actual footprint adjusts linearly with event density and resolution.
Questions operators often ask.
Still evaluating Sentinel? Reach the engineering desk at ioncoreenergy@gmail.com.
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Can Sentinel run completely offline?
Yes. Sentinel is engineered for air-gapped deployments. All inference, storage, and review workflows run locally. Optional alerting channels can be routed through on-prem messaging servers.
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How does it handle unknown individuals?
Unknown faces are bucketed with re-identification embeddings, letting analysts group recurring visitors and promote them to known profiles when appropriate.
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What about cybersecurity?
Sentinel is delivered as a hardened desktop package with signed binaries. Audit logs capture administrative actions, model updates, and integration changes for compliance teams.
