Augmented Neighborhood Watch
| Augmented Neighborhood Watch | |
|---|---|
| |
 Augmented Neighborhood Watch | |
| Team Organizations | Metropolitan Intelligence |
| Team Leaders | Stephanie Hayden |
| Participating Municipalities | Oakland CA |
| Status | Concept only Stage |
| Initiative | {{{initiative}}}Property "Has initiative" (as page type) with input value "{{{initiative}}}" contains invalid characters or is incomplete and therefore can cause unexpected results during a query or annotation process. |
| Document | None |
Description
- Engage with Constituents currently part of the City of Oakland NCPCs to keep an eye and report crime to their local police Beat Officers. Present IoT Kits to the NCPCs to invest in micro-grid infrastructure kits that include mesh networks, computer vision cameras, sensors, and secure communication channels to capture live data about events happening to community homes, block by block. Install series of “Capture” hardware devices and send this data to a secure data platform per kit owner.
- Connect this data to a Machine Learning / AI platform to learn about this data, scan for license plates, and identifiable characteristics and connect these data with co-designed If This Then That event programs to understand what the cameras are seeing and appropriate notify community members and law enforcement officials who have the ability to act on and apprehend individuals committing crimes. This live data will be streamed and hosted in secure cloud services, locked down to each micro-grid kit owner, to determine who will have access to this data in the form of sharing, selling, buying.
- If/when the constituent chooses to share or sell this data to City of Oakland public sector agencies like Oakland Police, Fire, Transportation, CA Highway Patrol they can provide live connections and streaming video to these agency devices in order to help Public agencies locate and apprehend people who commit illegal activities in and around homes and community gathering spaces.
Challenges
The City of Oakland has a major problem with spontaneous illegal activities that create danger for community members, business owners, and schools where lives are in danger, property and businesses are damaged, and communities become overwhelmed with garbage from illegal dumping causing property values to drop and businesses to de-invest in communities. Video surveillance systems were put into neighborhoods all over Oakland over the years by Public Sector, constituents, and business owners but that video is rarely shared with empowered individuals or groups who may be able to do something with it. If someone does capture video, they need to watch the entire video hoping to catch moments where perpetrators are visible and license plates are readable. Even if they locate this data, the crime incident is usually over, and the information captured does not help locate the perpetrators.
Solutions
Augmented Neighborhood Watch allows constituents to capture, securely stream and store, and kick off actions to help resolve their real-time challenges. do not stream live video, the public has made it clear they will not accept additional surveillance from the public sector, and these crimes occur so spontaneously over a 50-mile radius police cannot predict where the next event with occur.
- Illegal Sideshows
- Illegal Dumping
Major Requirements
- Engage Existing Neighborhood Watch Groups now embedded in Neighborhood Crime Prevention Councils (NCPCs) or Community Council groups to consider Augmented Neighborhood Watch capabilities
- Engage City Council Members to identify specific areas within their represented districts to focus on problem areas and collaborate with CMs to perform data-driven outreach to contact NCPC leaders and their community membership, as well as school networks, non-profits and Non-governmental agencies to deliver this news of these capabilities to drive understanding and pilots to lead to larger adoption in groups within each district.
- Find NCPC businesses, home owners, and private convening spaces like marketplaces or private gardens to install kits for experimentation with mesh networks, wifi, LoRa, computer vision, and mobile notifications to engage constitituents in learning how to capture data about the activities that concern them most.
- Connect Constituents with Live response from Public Agencies, starting with local police beat officers while securing and maintaining constituent data so that it is entirely under their control and management.
- Provide demos to registered constituents so they can see what their neighbors are able to learn and how they can connect with various city services and vendors to help remediate their issues and add more functionality and data to their capabilities.
There are 58 NCPCs in the City of Oakland with community members actively engaging in community watch programs and working directly with Oakland Police Department Beats. Stephanie Hayden has just been nominated and elected Co-Chair of NCPC Beat 27x.
Performance Targets
| Key Performance Indicators (KPIs) | Measurement Methods |
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Standards, Replicability, Scalability, and Sustainability
The key factors in Augmented Neighborhood Watch is the premise that constituents will capture their own data and choose to share and/or sell their data with Public Sector agencies to these service agencies can more accurately deploy services to hyper-local, real-time, events and use automation to distribution actions using a basic If This Then That workflow
- Standards: Data Capture, Management, Storage, Delivery, and Security will follow best practices in Data Governance, Data Loss Prevention, and Cyber Security.
- Replicability: Kits and communities learning from each other’s experiences will help the model replicate itself rapidly, at low cost for constituents, businesses, and government agencies.
- Scalability: Services for data capture, management, storage, delivery, and x will be managed in Cloud Services that are designed to scale to real-time need and only charge for activities.
- Sustainability: The ability for constituents to buy and own their own resilient micro-grid infrastructure at low cost, and their ability to sell that data to interested parties will drive new revenue to constituents and reduce cost for government to deliver targeted services to constituents reducing overall cost to provide public services.
Cybersecurity and Privacy
- MI Data Tenants Zones are split into four categories:
- Commercial / Business
- Public Sector
- Individuals / Groups
- Non-Profits / NGOs / Social Impact
- These zones are secured, and the data is locked down to the infrastructure Owners’ account.
- Constituents own data infrastructure, data governance, data streams, data access, data security and data loss prevention policies as they are the owners of the micro-grid data infrastructure.
- Training will be provided to each kit owner and a network of neighbors who are also using ANW whom they may connect with to connect clips of video and sensor data to create full lifecycle event series to use for their own Neighborhood Watch activities and to help provide live location data for police to respond to exact data, real-time.
The data platform is managed by Metropolitan Intelligence and kit and data owners can manage these services on their own or have MI monitor and manage their data accounts in order to derive the most value from these secured data sets.
Impacts
- Public Safety: Women, children, and elderly are seen outside more frequently
- Health: Fewer people are hurt from criminal activities and overall health statistics improve for the Zip Codes in and around NCPC 27x
- Transportation-related injuries: Fewer accidents and transportation fatalities occur
- Environment: The feeling in the community switches from fear and apathy to crime to pride in culture and community networks
- Quality of Life: People are not afraid to be out and around on their blocks and thoroughfares and small businesses begin to open on main streets
Demonstration/Deployment
Metropolitan Intelligence will present an overview of:
- the types of IoT kits that currently in use in Oakland communities
- high-level findings for the data are being captured via new micro-grid infrastructure
- the types of IoT kits that are currently in use where data being captured is being shared
- responses from neighbors
- response from police