Hitachi Visualization Predictive Crime Analytics

Transcription

1 Hitachi Visualization Predictive Crime Analytics

2 Creating Safe Cities - The Problem Public safety budgets are tightening Violent crimes e.g., assault are increasing in many cities along with the shifting demographics over time Police patrols and methods are typically determined based solely on crime history and gut instinct The data exists but acquiring, correlating and analyzing is time consuming and prone to error

3 The Hitachi Solution: A Rigorous Approach Easily ingests multiple datasets with potential correlations to crime e.g., police station locations, roads, street light locations, parole records, license plate captures, gunshot events, social media, etc. more data equals greater accuracy Keeps data fresh and runs autonomously solves the decay problem Leverages any number of variables to improve accuracy of the crime prediction i.e., reduce variance Offers a robust geospatial display showing probability assigned by crime type for all city blocks for future crime.

4 Predictive Crime Analytics Benefits Accurately identifies potential locations for police patrols based on a rigorous proven and automated model Visualizes precise locations with high relative threat levels for further risk assessment and response Easily filters predictions, and visualizes correlations and related assets for faster response times Leverage the natural language processing engine for social media to identify high concentration of topics and keywords for changing venues that may lead to an increase in crime

5 Our Methodology Multi-variable spatiotemporal model which uses spatial proximity, density, and temporal periodicity Utilizes weather and social media (Tweets) to improve accuracy by as much as 15% Provides insights into underlying risk factors e.g., proximity to schools Schedule data ingest and prediction runs hourly, daily, weekly More powerful than the self exciting point processes that competitors use

6 Intuitive UI Overlay historical crime data with prediction Filter on how much coverage you want rendered Relative threat levels for each 200 meter city block using color intensity See all assets in radius of block including cameras Get a street view for the block

7 Highly Accurate Test was run against Chicago crime data in January 2013 Model aggregated all crime types over this period and compared the threat level predictions for 200 meter blocks of the city against actual crime data Model shows if one were to monitor 20% of the most threatened areas they would observe 45% of the crimes For specific types of crime e.g., robberies and prostitution the model achieved 60% and 80% respectively

8 Heat Maps View historical data by discrete events or in a heat map Show over time or by day or hour via our timeline view Multiple map options, ESRI, Google, Bing, Open street maps, etc. Overlay your assets on same map including buildings, vehicles, cameras, etc.

9 Hitachi Video Management Platform Enabling Safer, Smarter, More Efficient Communities Through Connected Intelligence

10 What Is a Video Management Platform? Definition A video management platform (VMP) is a converged hardware solution appliance comprised of storage and compute that runs digital video management system (DVMS) software. Brocade FC SAN Cisco FC SAN Hitachi Compute 1 (VM) Hitachi Compute 2 (VM) Viewing Stations Cameras Hitachi Virtual Storage G Series Users

11 What Is a Video Management System? A video management system (VMS or, if digital, DVMS) is a camera-management system software that allows centralized control of video cameras on the network. There are currently five main VMS companies in the market: - OnSSI - Genetec - Milestone - Verint - Nice Systems Video Stored in Proprietary Format

12 Complexities and Challenges of Storing Video Large, Random I/O 95% Write, 5% Reads, Reads are Spiky Video Traffic is Fragmentation- Prone Different DVMS Vendors use Different Methods for Archiving Most DVMS Vendors recommend using RAID5 for Redundancy Disk Throughput is Just As Important As Capacity Recording Video is NOT CPU- and memory-intensive -Multiple cameras attach to an archiver, each with its own resolution, stream and data -Cameras pointed at a door will need less bandwidth than a camera looking at a busy intersection -Video recording is constant, thus files are writing to storage all the time -Video viewed mainly after an event occurs and multiple users try to pull the same streams As video is groomed off after a certain time period, fragmentation occurs in the drive when data is reclaimed performance degreases over time -Milestone and OnSSI support storage tiering inside the VMS. -Genetec and Verint require Hitachi Dynamic Tiering Support -N+2 redundancy for video storage -Performance decreases as redundancy increases Using 512KB block size instead of 64KB increases throughput Because video management systems do not transcode video, they do not require high CPU and memory resources

13 Legacy Video Management System Architecture Difficult to Scale Tough to Manage Cost-Intensive - Faster Disk Cost (hard to tier) - CPU and Memory Costs - Power and Cooling Costs Unreliable

14 Hitachi Visualization Video Management Platform WHAT IS IT AND WHY? Hitachi Servers Powerful compute solution for virtual recorders Brocade 320 or 6510 Fabric 16Gbps FibreChannel Cisco MDS 9148 Fabrics -16Gbps FibreChannel DB60 Trays Up to 60 4TB NL-SAS Disks Up to 60 6TB NL-SAS Disks Flash Module Drive Trays Support for Hitachi s Flash Module Drives Hitachi VSP midrange storage -16Gbps FibreChannel Ports -12Gbps SAS Ports Appliance Solution for Digital Video Management Systems Supports all major DVMS solutions (Genetec, Milestone, OnSSI, Verint, and Nice Systems) 100% redundancy built in supporting High Availability (HA) and Fault Tolerance (FT) Fully scalable technology ranging from 150 to 10,000 cameras and 42TB to 90PB. Virtual solution powered by VMware Specifically designed for video retention purposes Power and Cooling savings in the datacenter End-to End HDS Solution

15 Key Customer Requirements Driving the Need for Hitachi Visualization Video Management Platform Customer mandates for video retention from weeks to months Legacy environments are not scalable and costly As cost of storage decreases, camera resolution increases Government mandates and specific standards drive retention requirements Even though IT industry is moving to the cloud, many government agencies, hospitals, and businesses prefer to keep video storage in-house A set-it and forget-it approach reduces the need for dedicated employee resources

16 Hitachi Video Management Platform Architecture

17 Hitachi Visualization Video Management Platform Expansion More cameras = more compute more video retention = more storage