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Highlights from our recent developments and industry recognition
Sigmind.ai, a Bangladesh-based AI company, has recently launched TrafficFlow, a software solution for real-time traffic management in urban environments. According to the startup, this AI-based software aims to address the bustling traffic challenges of Dhaka city.
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Read PaperWatch how our intelligent traffic management system transforms urban mobility and reduces congestion.
Watch VideoRecent news, announcements, and developments from Sigmind.ai
New partnerships and deployments across Malaysia, Singapore, and Philippines mark our continued global growth.
Read MoreNew partnership will accelerate AI video analytics adoption across the region.
Read MoreBreakthrough in model compression achieves 60% faster processing on edge devices.
Read PaperTechnical documentation, whitepapers, and resources for developers and researchers
Comprehensive technical documentation and implementation guide
2.5 MB PDFDetailed specifications and hardware requirements
1.8 MB PDFSmart traffic management system overview and benefits
3.2 MB PDFComplete API reference and integration guides
Online DocumentationSoftware development kit for custom integrations
15.6 MB ZIPSample code and integration examples
GitHub RepositoryStep-by-step tutorials for system setup and configuration
Video SeriesRecorded webinars on AI video analytics best practices
Video LibraryDetailed case studies from successful implementations
4.5 MB PDFMedia coverage and industry recognition of our innovations
CEO interview discussing the future of artificial intelligence and its impact on Bangladesh's technology sector.
December 2024Feature article on how Sigmind's TrafficFlow iTMS is revolutionizing urban traffic management.
November 2024CTO discusses technical innovations and future roadmap for AI video analytics technology.
November 2024Recognition for outstanding innovation and contribution to the AI industry in South Asia.
October 2024Academic contributions and research papers in computer vision and AI
International Journal of Computer Vision âĸ 2024
This paper presents a novel approach to automatic license plate recognition supporting multiple languages including Bangla characters, achieving state-of-the-art accuracy of 98%.
IEEE Transactions on Pattern Analysis âĸ 2024
Advanced deep learning techniques for analyzing human behavior patterns in high-density environments with applications in public safety and crowd management.
ACM Computing Surveys âĸ 2023
Comprehensive study on optimizing AI models for edge computing environments, focusing on latency reduction and power efficiency in video analytics applications.
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