People Counting System
Overview
Fit Score
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SUMMARY
KEY REQUIREMENTS
TIMELINE
Issue Date of RFP: June 18th, 2026
Deadline for Questions: July 9th, 2026
Deadline for Issuing Addenda: July 13th, 2026
Submission Deadline: July 16th, 2026
Anticipated Ranking of Proponents: By week of August 3rd, 2026
Anticipated Execution of Agreement: By September 4th, 2026
QUESTION DEADLINE
CONTACTS
Primary procurement contact — name, title, email, and phone
Additional decision-makers and their departments
Issuing Agency
Fraser Valley Regional Library
DESCRIPTION
This RFP seeks a capable vendor to provide a people counting system featuring encrypted communication protocols to ensure secure data transmission. The system must integrate advanced people tracking algorithms to accurately count and distinguish individuals, even in crowded areas.
The solution should offer real-time data collection and processing with remote access for facility operators. A secure user authentication system with role-based access controls is required for the software dashboard, which must be user-friendly and capable of displaying both live and historical data. The platform should allow for customizable alerts and notifications regarding abnormal crowd sizes or specific incidents.
Importantly, data anonymization measures must be implemented to safeguard the privacy of individuals being monitored, along with transparent data collection practices and options for individuals to opt-out or manage their information. All questions regarding this RFP must be submitted by July 9, 2026.
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Frequently asked questions
- When is the submission deadline?
- Submissions are due July 16, 2026. Questions must be submitted by July 9, 2026.
- Who issued this RFP?
- It was issued by Fraser Valley Regional Library. The work is located in Maple Ridge, British Columbia, Canada; Pitt Meadows, British Columbia, Canada; White Rock, British Columbia, Canada.
- Who is a good fit for this opportunity?
- Proven expertise in developing and deploying people counting or occupancy solutions
- Experience with advanced algorithm integration and data privacy safeguards
- Ability to deliver secure, encrypted data platforms
- Capability to support Canadian clients and comply with local privacy standards
Analysis generated by Settle AI from the source RFP.
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