10 Services from iot.halowerk.com

Estimates remaining battery capacity after cycle and calendar fade using caller-supplied or default heuristic coefficients.

Detects cross-sectional outliers in a fleet of IoT device readings using robust z-scores based on cohort median and median absolute deviation.

Fits a linear calibration model (reference = slope × observed + offset) using ordinary least squares over paired sensor readings, returning slope, offset, and residual diagnostics.

Computes estimated LoRa receive power and link margin using free-space path loss at 1m, a caller-supplied path-loss exponent, antenna gains, and receiver sensitivity.

Computes the minimum Euclidean clearance between each circular obstacle and every segment of a robot's planned path, accounting for both obstacle radius and robot radius.

Groups scalar field changes from local and remote sources by field name, selects the highest-version value as the winner, and flags conflicts where equal-version values differ.

Canonicalizes firmware metadata (hash, version, device model, minimum bootloader) and produces a SHA-256 manifest digest plus HMAC-SHA256 release tag using caller-supplied ephemeral key material.

Filters edge compute provider candidates by CPU, memory, and latency constraints, computes total workload cost from quoted unit prices, and returns feasible candidates ranked by cost then latency.

Computes a deterministic shortest path through a caller-supplied directed or bidirectional weighted graph using non-negative edge costs.

Canonicalizes device_id, nonce, and message, then computes or verifies an HMAC-SHA256 authentication tag using caller-supplied ephemeral key material for IoT device challenge-response flows.