Impact
6-12 mo
End-to-end build cycle
How BS-Map Solves It
Plug-and-play SDK skips zero-to-one build
Robot SDK, cloud APIs, and app source code form a standard integration package so teams focus on differentiation.
60% shorter R&D cycle
BS-Map / One of 9 Core Subsystems
Map Spatial Intelligence Engine
BS-Map is BigSight CloudTrace's three-end integrated spatial intelligence platform spanning device, cloud, and APP. From mapping, editing, and planning to execution — SDK plug-and-play empowers hardware makers to focus on innovation while delivering industry-leading map capabilities.
Quick Tour
Get to Know BS-Map in 60 Seconds
Spatial Intelligence Engine Built for Mobile Robots
3-Minute Mapping · One-Tap Launch
BS-Map delivers end-to-end software capabilities from mapping and editing to planning and execution, so hardware makers don't need a large mapping algorithm team.
Powered by 3D LiDAR SLAM and vectorized map engines with high-FPS rendering, it delivers a map interaction experience rivaling smart car cockpits.
3-Minute Rapid MappingMulti-Robot & Pre-Built MapsSDK Plug & Play
Product Value
The 6 Mountains of In-House Mapping — At Least 6-12 Months
High Technical Barrier
End-to-end in-house development from SLAM to app mapping takes 6-12 months, missing the optimal launch window
Talent Shortage
SLAM experts don't know app UX; frontend developers don't know robot communication. Building the team is a challenge in itself
Poor Map Experience
Raster maps look rough; users can't read yard structures. Zone editing is useless, dragging down app ratings
Missing AI
Obstacles marked manually; can't adapt to environmental changes. "Smart" remains just a slogan
Integration Hell
Device, cloud, and app integration consumes 40% of development time
Low ROI
Millions invested for "just a viewable map" that fails to create product premium
The BS-Map Solution
Standard SDK. One Integration, Pro-Grade Mapping Ready
60%Shorter software R&D cycle
MillionsSaved in in-house investment
3 moTo product launch
Key Advantages
6 Core Advantages That Redefine Robot Mapping
From mapping speed to interaction experience, from AI understanding to SDK delivery — every advantage amplifies product competitiveness.
3-Minute Rapid Mapping
Auto boundary mapping + manual remote control dual modes. Robot scans autonomously, completing yard digitization in 3 minutes with AI-powered quality checks.
2D/2.5D Photorealistic Rendering
Vector-based engine, not rough raster grids. Isometric projection, shadow offset, and grass textures deliver 30fps smooth scaling — users will say "wow" at first sight.
Intuitive Gesture Editing
Tap to add vertices, drag to reshape, remote walking to auto-generate precise zones. 50-step undo/redo with real-time conflict detection — as easy as photo editing.
AI Spatial Understanding
YOLOv8 + MobileNet edge inference auto-identifies trees, flower beds, and obstacles. Adapts to environmental changes and grows smarter over time, with cloud-based algorithm updates.
Visual Path Preview
Multi-strategy full-coverage and point-to-point path planning with animated previews. Real-time display of completed, in-progress, and pending areas — the map itself is a progress bar.
SDK Plug & Play
Python/C++ robot SDK + RESTful API + Flutter app source code. Integrate with a few lines of code. Modular purchase — enable only what you need.
Key Advantages
6 Core Advantages That Redefine Robot Mapping
From mapping speed to interaction experience, from AI understanding to SDK delivery — every advantage amplifies product competitiveness.
3-Minute Rapid Mapping
Auto boundary mapping + manual remote control dual modes. Robot scans autonomously, completing yard digitization in 3 minutes with AI-powered quality checks.
3-min mapping
2D/2.5D Photorealistic Rendering
Vector-based engine, not rough raster grids. Isometric projection, shadow offset, and grass textures deliver 30fps smooth scaling — users will say "wow" at first sight.
30fps vector
Intuitive Gesture Editing
Tap to add vertices, drag to reshape, remote walking to auto-generate precise zones. 50-step undo/redo with real-time conflict detection — as easy as photo editing.
50-step undo/redo
AI Spatial Understanding
YOLOv8 + MobileNet edge inference auto-identifies trees, flower beds, and obstacles. Adapts to environmental changes and grows smarter over time, with cloud-based algorithm updates.
Edge AI
Visual Path Preview
Multi-strategy full-coverage and point-to-point path planning with animated previews. Real-time display of completed, in-progress, and pending areas — the map itself is a progress bar.
Animated preview
SDK Plug & Play
Python/C++ robot SDK + RESTful API + Flutter app source code. Integrate with a few lines of code. Modular purchase — enable only what you need.
Plug & play
Architecture
6 Core Modules Covering the Full Spatial Intelligence Loop
Modular Design. Mix and Match. Build Your Mapping Capability Like Lego Blocks.
Smart Mapping
Auto boundary + manual remote dual modes, AI quality checks, one-click vectorization
Photorealistic Rendering
2D/2.5D vector rendering, semantic layers, 30fps smooth interaction
Intuitive Editing
Gesture-based zoning, obstacle marking, no-go zones — WYSIWYG
Path Planning
Full-coverage / point-to-point multi-strategy, AI auto-optimization, visual preview
Real-Time Execution
Real-time robot tracking, remote start/stop control, clear progress visibility
Map Management
Multi-map switching, pre-built map search, cloud sync, version control
Architecture
6 Core Modules Covering the Full Spatial Intelligence Loop
Modular Design. Mix and Match. Build Your Mapping Capability Like Lego Blocks.
Auto boundary + manual remote dual modes, AI quality checks, one-click vectorization
Auto boundaryRemote controlAI QAOne-click vectorize
Core Functions
Core Functions in Detail — Every Detail Stands Up
Seven functional modules covering the full closed loop from mapping, rendering, editing, AI understanding, and execution management.
Dual-mode: auto boundary + Bluetooth remote
Real-time visualization with color-coded areas
AI quality checks for closure, overlap, anomalies
One-click vectorization from PGM to crisp JSON
Click to enlarge
Smart Mapping: Digitize Your Yard in 3 Minutes
Say goodbye to maze-like mapping. One boundary walk, fully automatic. Supports both auto-mapping (robot walks boundary autonomously) and manual mapping (APP Bluetooth remote control). Real-time visualization: scanned areas in green, current boundary in flowing blue, unscanned areas clearly visible.
Dual-mode: auto boundary + Bluetooth remote
Real-time visualization with color-coded areas
AI quality checks for closure, overlap, anomalies
One-click vectorization from PGM to crisp JSON
Click to enlarge
Tech Specs
Enterprise-Grade Architecture: From Pilot to Millions
0
Map Load Time
Zero user wait
0
Rendering Frame Rate
Silky smooth interaction
0
Positioning Latency
Real-time feel
0
Path Calculation
Sub-second (< 1000㎡)
0
Concurrent Devices
Scale without worry
0
API P95 Response
Fluid backend experience
0
System Uptime
Stable all year round
0
Vectorization
PGM to vector JSON
End-to-End TLS 1.3JWT AuthenticationData IsolationReplay Attack ProtectionGrade Protection & GDPR Compliant
Scenarios
One Engine, Six Scenarios, Unlimited Possibilities
Residential Mowing
Precise yard zone management, intelligent obstacle avoidance, complete coverage
Commercial Mowing
Large-area pre-built maps for golf courses/parks, multi-robot dispatch
Inspection Robot
Set patrol routes, checkpoint verification, precise anomaly marking
Cleaning Robot
Indoor/outdoor zone cleaning strategies, auto no-go zone recognition
Delivery Robot
Point-to-point navigation, corridor priority, dynamic re-planning
Golf Cart
Course pre-built map navigation, optimal hole-to-hole paths, real-time location sharing
BS-Map isn't designed for one type of robot — it's designed for every intelligent device that needs to move through space. Mow today, inspect tomorrow. Scale scenarios without changing architecture.
Get Started
Give Your Robots True Spatial Intelligence, Starting Today
"Maps aren't a cost — they're a competitive edge. BS-Map makes that edge plug-and-play."
Some interface images above are system mockups, not actual screenshots. The actual system UI is as demonstrated by our sales team.