NeuroEdge – Deterministic Zero-Cloud Perception & Vision
Deterministic on-device neural acceleration running pruned, INT8/FP16 quantized vision models (YOLO/VIO) with sub-10ms perception latency—100% offline with zero cloud dependency.
Zero-Cloud Deterministic Neural Perception
We target real-time edge intelligence that operates entirely on-device for aerial platforms, autonomous rovers, and robotic workcells. Our systems perform sub-10ms object detection, visual inertial odometry (VIO), semantic crop analytics, and defect classification directly on the edge hardware without relying on cloud servers or cellular uplinks.
Overcoming Cloud Latency, Bandwidth & Security Hazards
Streaming video feeds to remote cloud servers fails in underground facilities, tactical defense environments, and rural farmlands due to latency spikes and signal cutoffs. Transmitting raw video also exposes confidential data. By executing neural inference locally on hardware accelerators, decisions happen instantaneously with 100% data sovereignty.
TensorRT Optimization & Optical Sensor Fusion
We design custom embedded carrier boards hosting high-efficiency neural accelerators (NVIDIA Jetson / ARM NPU). Computer vision models are pruned, quantized to FP16/INT8, and optimized via TensorRT/ONNX. Dual stereo cameras and thermal sensors feed synchronized pipelines with custom active cooling enclosures for 50°C+ ambient field operation.
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Deploy This Technology in Your Mission Workflow
Connect directly with MedhaArc systems engineers to discuss hardware integration, custom flight firmware, or robotic automation contracts.