In this episode, we sit down with Song Cao, Ph.D., CEO of Alpha Vision, and Yi Jin, Ph.D., Co-Founder & CMO, to explore how AI-powered physical intelligence is transforming modern policing.

Ahead of the International Association of Chiefs of Police (IACP) 2025 Conference in Denver (Oct 18–21, Booth #3514), Alpha Vision unveils its groundbreaking Physical Super Intelligence Platform an ecosystem of AI Agents, real-time analytics, and a Unified Database that helps police departments prevent crime, accelerate investigations, and protect communities with greater confidence.

From solving bomb threats in minutes to stopping million-dollar heists, this conversation reveals how AI and law enforcement can work hand-in-hand to build safer, smarter cities.

1. AI-Driven Prevention: How Alpha Vision’s Physical AI Platform empowers police to anticipate and stop crimes before they occur.

2. Real-World Impact: Case studies from Layton, UT, and San Ramon, CA showing how Magic Search AI helped close cases within minutes.

3. Technology That Thinks: Inside Alpha Vision’s suite of AI Agents Virtual Guard, AI Inspector, Magic Search, and AGI Mode and how they collaborate as digital partners to officers.

4. Ethical & Transparent AI: How Alpha Vision designs its technology to strengthen public trust while enhancing investigative accuracy.

5. The Future of Public Safety: A look ahead at predictive analytics, AI-driven case management, and inter-agency data exchange shaping the next decade of law enforcement.

• Law enforcement leaders and public-safety professionals exploring AI adoption.

• City and state officials looking to enhance crime-prevention strategy.

• Security-tech innovators and AI researchers working on real-world intelligence applications.

• Enterprise and civic decision-makers focused on ethical technology and community safety.

• Tech enthusiasts interested in how AI moves from theory to tangible social impact.

Blog Link:

https://alphavision.ai/blogs/news/alpha-vision-to-showcase-ai-powered-crime-prevention-platform-at-iacp-2025

In this episode, we dive into how property management is being transformed by cloud-based video intelligence. Drawing on the blog “Best 8 Cloud Video Intelligence Tools Recognized in Property Management” (link: https://alphavision.ai/blogs/best-lists/8-best-cloud-video-tools-for-property-management), we’ll walk through eight leading platforms, explore their trade-offs, and help you think through which tools can elevate security, tenant experience, and operational efficiency.

• The evolving security challenges in property management: package theft, parking lot crime, vandalism, tenant complaints, insurance risk

• What “cloud video intelligence” offers beyond traditional CCTV: AI analytics, remote alerts, search, deterrence, simplified scaling

• Overview of the 8 standout tools and how they differentiate:   • Alpha Vision + Axis Integration: Axis’s strong camera hardware paired with Alpha Vision’s AI Magic Search, intrusion alerts, LPR, two-way audio deterrence   • Genetec Security Center: unified video + access + analytics, open architecture, supports many camera types   • Avigilon Alta: cloud-native video platform, gateway support for existing cameras, analytics like appearance search, heatmaps   • Verkada: turn-key cloud cameras + hardware + software stack with AI search & integrated ecosystem   • Rhombus Systems: video + IoT sensors, cloud management, real time alerts, good for multi-site portfolios   • Eagle Eye Networks: open cloud VMS, supports ONVIF cameras, bridge appliances, smart search, APIs   • Hanwha Vision (Wisenet): edge AI at the camera (object detection, people counting, local analytics), hybrid setups   • Spot AI: retrofit AI via appliance + cloud layer on existing CCTV systems; enables search, alerts, remote view

• Trade-off and deployment considerations:   • Cloud dependence: internet availability, bandwidth limitations, latency   • Subscription and licensing costs over time   • Vendor lock-in vs open systems and interoperability   • Accuracy, false positives, calibration of AI models   • Fallback or local storage / buffering for when connectivity is lost   • Privacy, regulatory or tenant-data considerations

• Best practices for rollout: pilot in key zones (parking, entrances), monitor performance, adjust settings, scale gradually

• Property management companies (multifamily, commercial)

• Facilities & operations directors overseeing security for real estate portfolios

• Security integrators and solution providers in real estate / property tech

• CIOs / technology leads in real estate firms

• Investors, analysts, or technology scouts tracking proptech and smart building trends

In this episode, we explore how AI is shifting retail loss prevention from reactive to proactive. Using the blog “Best 10 AI Video Surveillance Solutions Transforming Retail Loss Prevention in 2025” (link: https://alphavision.ai/blogs/axis-integration/best-10-ai-video-surveillance-solutions-transforming-loss-prevention) as our guide, we’ll walk through the top platforms, dig into their strengths and trade-offs, and help listeners understand how to pick the right solution for different retail settings.

• The scale of the problem: shrink, theft, fraud, and how AI video adds value beyond just recording

• The 10 standout AI surveillance solutions and what makes each unique:   • Alpha Vision + Axis Integration cloud-native, Magic Search, real-time intervention, LPR, compliance ready   • Genetec Security Center unified security + POS integration, open architecture   • Avigilon high-end imaging, “Appearance Search,” strong forensic tools   • Avigilon Alta cloud-first version, plug-and-play emphasis   • Verkada unified hardware + AI + cloud stack   • Rhombus Systems integrated video + sensors + access control   • Eagle Eye Networks camera-agnostic open cloud VMS   • Hanwha Vision (Wisenet) edge AI cameras, local analytics   • Milestone Systems open VMS with plugin AI marketplace   • Spot AI retrofit AI for existing camera setups

• Strengths vs trade-offs in architecture (cloud vs edge vs hybrid), cost scaling, false positives, vendor lock-in, dependence on network connectivity

• Best practices when deploying at retail scale:   • Pilot in high-risk stores or zones   • Tune AI models continuously   • Build fallback modes (local storage, buffering)   • Track and tie metrics back to shrink, incident response, labor savings

Who Should Listen

• Retail security & loss prevention leaders

• CIOs / technology leads in retail chains

• Systems integrators and solution providers for retail

• Store operations / district managers interested in tech levers

• Analysts and consultants monitoring AI adoption in retail