BlindSpot Sentinel | Hardware Product Concept
BlindSpot Sentinel
Retrofit blind-spot warning for trucks using camera + radar fusion, especially for cyclists/pedestrians.
Designed for Truck fleets. Source profile: Idea / Research; feasibility: Medium; prototype complexity: High.
Project text and technical scope
Problem addressed
Current Trucks / Heavy Vehicles workflows often depend on manual checks, disconnected devices and delayed evidence.
Product vision
Retrofit blind-spot warning for trucks using camera + radar fusion, especially for cyclists/pedestrians.
Hardware platform
Side cameras + mmWave radar + display/haptic alert
Sensors and inputs
Radar targets, side video, speed
AI and software
Object detection and collision-risk fusion
User workflow
Truck fleets use the device in-field; the system captures data, analyses it, requests human confirmation where needed and records the outcome.
Edge processing
Run latency/privacy-critical inference on device/edge; use server for fleet analytics, RAG, orchestration and reporting.
Connectivity
CAN/4G optional
Mobile experience
Device pairing, live status, guided workflow, alerts, evidence review, offline sync and user actions.
Operations console
Fleet/device map, live events, health, incident queue, analytics, reports, configuration and audit history.
Safety and compliance
Safety-critical validation needed; not a substitute for mirrors/driver checks.
Operational value
Hardware kit; value comes from measurable safety, traceability, downtime reduction or workflow automation.
Security and privacy
Secure device identity, encrypted transport/storage, RBAC, audit logs, minimum necessary personal data and configurable retention.
Commercial model
Hardware kit
Differentiation
Affordable retrofit fusion system.
Demo scenario
Show a realistic operator using BlindSpot Sentinel; capture sensor/device event → AI analysis → alert/recommendation → human action → report.