1. Ingest
Hardware-decoded multi-stream video and sensor ingest at line rate.
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2. Accelerate
Compiled execution graphs with INT8/FP8 quantization.
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3. Spatial Intel
Multi-camera 3D coordinate tracking and zone analytics.
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4. Orchestrate
Distributed cluster load balancing and streaming telemetry.
Perceptras Flow
High-throughput video decoding, sensor stream normalization, and zero-copy pipeline execution engineered for dense camera networks and real-time physical AI applications.
Key Capabilities & Architecture Highlights
- Zero-copy unified memory architecture between decoder and inference engine
- Supports up to 128 concurrent RTSP/H.264/H.265/AV1 video feeds per node
- Line-rate industrial protocol ingest for GigE Vision, USB3 Vision, and MIPI CSI-2
- Automatic stream re-connection, packet loss compensation, and adaptive buffer pacing
- Dynamic batch aggregation for multi-camera synchronous frame delivery
Perceptras Accel
Compiles PyTorch, ONNX, and JAX perception models into hardware-optimized execution graphs with automatic INT8/FP8 quantization, kernel auto-tuning, and dynamic tensor memory management.
Key Capabilities & Architecture Highlights
- Layer fusion, constant folding, and hardware kernel auto-tuning at compile time
- Post-training INT8 and FP8 quantization with automated calibration datasets
- Dynamic shape execution with zero runtime re-allocation overhead
- Multi-stream asynchronous execution queues for concurrent perception tasks
- Up to 6x latency reduction compared to standard ONNX Runtime / PyTorch baselines
Perceptras Zone
Transforms raw multi-angle detections into unified 3D spatial coordinate coordinates. Delivers continuous trajectory tracking, occlusion recovery, and zone boundary analytics for complex facilities.
Key Capabilities & Architecture Highlights
- Multi-camera extrinsic auto-calibration with automated ground plane alignment
- Cross-camera ReID and continuous trajectory matching across blind spots
- Geofence definition with programmable entry, dwell, and direction event triggers
- Occupancy heatmaps, density mapping, and spatial trajectory velocity profiling
- Direct CAD/BIM floor plan import with pixel-to-metric millimeter scaling
Perceptras Grid
Enterprise orchestration layer that manages model deployment, load balancing, fault tolerance, and event streaming across hybrid edge nodes and centralized GPU clusters.
Key Capabilities & Architecture Highlights
- Dynamic model placement based on real-time GPU load, temperature, and latency SLAs
- Zero-downtime rolling model updates and A/B canary deployment capabilities
- High-throughput gRPC, Kafka, and MQTT telemetry streaming out-of-the-box
- Cluster health self-healing with automatic node failover and stream rerouting
- Unified observability with Prometheus metrics and OpenTelemetry trace export
Production-Grade Reliability
Built from the ground up for critical physical operations where downtime and data loss are unacceptable.
Enterprise Security
End-to-end mTLS stream encryption, SOC2 Type II compliance roadmap, and fine-grained RBAC credential management.
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Hardware Agnostic
Deploy uniformly across edge embedded systems, ruggedized factory computers, and multi-GPU cloud data centers.
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Modular Integration
Use each product module independently or deploy the entire Perceptras perception pipeline as an integrated cluster.
