Compara los precios de City Eye en tiendas de claves de confianza y encuentra la mejor oferta. Desarrollado por Ultimate Games. Publicado por SIG Publishing. Lanzado el 12/8/2022. Disponible en PC. Géneros: Casual, Indie, Simulation, Strategy.

A surveillance sim with a genuinely clever premise that the execution never lives up to - approach this one with calibrated expectations, not wishful thinking.

I keep a mental shelf for games that could have been genuinely interesting design exercises, and City Eye sits on it, dusty and undercooked. The core idea here is legitimately compelling: you are a Central Monitoring System operator, watching multiple city districts through a network of hundreds of cameras, identifying crimes - car theft, fights, fires, property destruction, even terrorism - and relaying coordinates to the right emergency service before suspects disappear off-camera. As a concept, that is a solid real-time attention-management problem. The execution is another matter entirely. The mechanical loop works like this: you scroll a city map, click into individual camera feeds, scan street angles for flagged activity, photograph suspects, and dispatch police or other services. Three camera tiers exist at different price points, and expanding your coverage into new districts requires pushing the local crime rate below 20%. That district-unlock structure gives the session some shape, and the randomised events system means each shift does not play out in an identical sequence. For about ninety minutes, the loop holds. You feel the low-grade tension of scanning feeds, catching a fight breaking out one block while a car theft ticks up somewhere else. The multi-incident juggling is genuinely the best argument for this game. After that honeymoon, the cracks are hard to ignore. The tutorial is threadbare, leaving new players to reverse-engineer rules through trial and error rather than teaching them confidently. Character models are limited in number and blurry at street level, which makes identifying specific suspects on a wanted list a frustrating rather than satisfying challenge. Between shifts, meaningful progression rewards are almost nonexistent beyond camera upgrades - no unlocks, no escalating threat types, no systemic depth that compounds over time. Critics and players alike flagged the same problems at launch: repetition sets in fast, late-stage progress is padded by artificial bottlenecking, and the sense that something substantive is being built never really arrives. The Steam community reception landed firmly in mostly negative territory, which tracks with what reviewers found. From a sim-and-strategy standpoint, this is thin. There is no mod ecosystem, no AI complexity to read, no build variety to theorise about, and no late-game crescendo to reward patience. The audio does solid work - realistic city ambient sound, sirens that cut through the quiet - but the visuals are dated and the colour palette is nearly monochromatic, which perversely makes the already-difficult suspect identification harder. The game is inspired by real surveillance infrastructure and the Orwellian weight of that concept, but it never converts that thematic potential into meaningful player decisions. You watch. You click. You dispatch. You repeat. If the concept of a surveillance management sim genuinely excites you, City Eye is not the wrong place to spend a couple of cautious hours - just know the depth you are hoping for is not here yet. For anyone expecting a strategic layer comparable to something like a proper management sim or an attention-puzzle game with escalating complexity, this will feel like an unfinished prototype of a better game. The bones are not bad. The house was never built. Diego, Scout Team

City Eye

City Eye

12 ago 2022Ultimate GamesSIG Publishing
GamerScout opina

A surveillance sim with a genuinely clever premise that the execution never lives up to - approach this one with calibrated expectations, not wishful thinking.

PC
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Mínimo histórico: €0.27

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I keep a mental shelf for games that could have been genuinely interesting design exercises, and City Eye sits on it, dusty and undercooked. The core idea here is legitimately compelling: you are a Central Monitoring System operator, watching multiple city districts through a network of hundreds of cameras, identifying crimes - car theft, fights, fires, property destruction, even terrorism - and relaying coordinates to the right emergency service before suspects disappear off-camera. As a concept, that is a solid real-time attention-management problem. The execution is another matter entirely. The mechanical loop works like this: you scroll a city map, click into individual camera feeds, scan street angles for flagged activity, photograph suspects, and dispatch police or other services. Three camera tiers exist at different price points, and expanding your coverage into new districts requires pushing the local crime rate below 20%. That district-unlock structure gives the session some shape, and the randomised events system means each shift does not play out in an identical sequence. For about ninety minutes, the loop holds. You feel the low-grade tension of scanning feeds, catching a fight breaking out one block while a car theft ticks up somewhere else. The multi-incident juggling is genuinely the best argument for this game. After that honeymoon, the cracks are hard to ignore. The tutorial is threadbare, leaving new players to reverse-engineer rules through trial and error rather than teaching them confidently. Character models are limited in number and blurry at street level, which makes identifying specific suspects on a wanted list a frustrating rather than satisfying challenge. Between shifts, meaningful progression rewards are almost nonexistent beyond camera upgrades - no unlocks, no escalating threat types, no systemic depth that compounds over time. Critics and players alike flagged the same problems at launch: repetition sets in fast, late-stage progress is padded by artificial bottlenecking, and the sense that something substantive is being built never really arrives. The Steam community reception landed firmly in mostly negative territory, which tracks with what reviewers found. From a sim-and-strategy standpoint, this is thin. There is no mod ecosystem, no AI complexity to read, no build variety to theorise about, and no late-game crescendo to reward patience. The audio does solid work - realistic city ambient sound, sirens that cut through the quiet - but the visuals are dated and the colour palette is nearly monochromatic, which perversely makes the already-difficult suspect identification harder. The game is inspired by real surveillance infrastructure and the Orwellian weight of that concept, but it never converts that thematic potential into meaningful player decisions. You watch. You click. You dispatch. You repeat. If the concept of a surveillance management sim genuinely excites you, City Eye is not the wrong place to spend a couple of cautious hours - just know the depth you are hoping for is not here yet. For anyone expecting a strategic layer comparable to something like a proper management sim or an attention-puzzle game with escalating complexity, this will feel like an unfinished prototype of a better game. The bones are not bad. The house was never built.

Diego
Diego · Scout Team

Strategy & simulation

Etiquetas

singleplayerachievementstier:sub-5Surveillance SimCrime ManagementRandomised EventsCamera SwitchingDistrict UnlocksMulti-Incident ManagementMinimalist Progression

Requisitos del sistema

Mínimos

OS
Windows 7 or newer
Memory
8 GB RAM
DirectX
Version 11
Storage
10 GB available space
Graphics
GTX 960 or equivalent
Processor
i5-4460 / Ryzen 3 1300
Sound Card
DirectX compatible

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Información del juego

Desarrolladora
Ultimate Games
Distribuidora
SIG Publishing
Fecha de lanzamiento
12 ago 2022

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¿En qué plataformas está disponible City Eye?

City Eye está disponible en PC.

¿Cuándo se lanzó City Eye?

City Eye se lanzó el 12 de agosto de 2022.

¿Quién desarrolló City Eye?

City Eye fue desarrollado por Ultimate Games y publicado por SIG Publishing.